t-Tests & Further Tests

Includes hypothesis testing

Edexcel

Edexcel · Old spec

A2 June 2025 Q6

EdexcelCurrent spec17 marksIncludes hypothesis testingt-Tests & Further Tests

6. Xiang owns a takeaway restaurant and wants to employ a delivery company. Xiang uses two companies, \(A\) and \(B\), for one week each and records the delivery rate, \(x\) minutes per km, for each delivery.

Company \(A\) made 61 deliveries with \(\bar{x}_A = 3.7\) and \(s_A^{\,2} = 1.64\)

Company \(B\) made 51 deliveries with \(\sum x_B = 142.8\) and \(\sum x_B^{\,2} = 461.34\)

(a) Find unbiased estimates for the mean and variance of the delivery rate for company \(B\). (3)

Xiang wants to carry out a two-sample \(t\)-test to determine whether there is a difference in the mean delivery rate for these companies.

(b) State any assumptions Xiang must make about the delivery rates of the two companies. (1)
(c) Using a 5% level of significance, carry out Xiang’s test. You should clearly state the hypotheses, test statistic and critical value you use. (7)

Xiang noticed that a greater proportion of company \(A\)’s deliveries were in the town, with lots of traffic, whereas a greater proportion of company \(B\)’s deliveries were rural, with less traffic.

Xiang decides to carry out a further test. He selects a random sample of 10 customers who regularly place an order at the same time each week. He asks company \(A\) to deliver these orders one week and company \(B\) the next week. There were no roadworks or other incidents affecting travel time in either week.

The delivery rates are given in the table below.

Customer12345678910
Company \(A\)5.43.62.54.72.33.23.44.15.94.5
Company \(B\)4.93.92.34.52.62.83.13.85.24.3
(d) Use a 5% level of significance to carry out a suitable test to determine whether there is a difference in the delivery rates of the two companies.
You should clearly state your hypotheses, test statistic and critical value. (6)

A2 June 2025 Q4

EdexcelCurrent spec13 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

4. The weights of apples Sam grows are normally distributed with a mean of 131 g and a standard deviation of 6 g

A supermarket will only buy apples with weights in the range 125 g to 137 g

(a) Find the proportion of apples Sam grows that the supermarket will buy. (1)

Some of Sam’s apple trees are treated with the aim of reducing the variability in weight of apples, without significantly affecting the mean weight. The weights of apples are still normally distributed.

A random sample of 25 apples was taken from treated trees and the weight, \(x\) grams, of each apple was recorded. The results are summarised by the following statistics

\[n = 25 \qquad \sum x = 3250 \qquad \sum x^2 = 422\,862\]
(b) Use a 5% level of significance to carry out a suitable test to determine whether there is evidence that the variance of the weights of apples from treated trees has decreased.
You should clearly state your test statistic, hypotheses and critical value. (6)
(c) Calculate a 95% confidence interval for the mean weight of apples produced by Sam’s trees after treatment.
You should clearly state the formula and numerical expression you have used. (3)
(d)
(i) State, giving a reason, whether the aims of the treatment have been met.
(ii) Give an estimate of the proportion of apples the supermarket will buy from Sam’s trees that have been treated. (3)

A2 June 2025 Q3

EdexcelCurrent spec6 marksIncludes hypothesis testingt-Tests & Further Tests

3. A scientist investigated the effects of nitrogen-fixing bacteria on cereal crop yield, \(x\,\mathrm{kg\,ha^{-1}}\)

The data come from independent random samples from normal distributions.

The results are summarised in the table below.

\(n\)\(\bar{x}\)\(s_x\)
Without nitrogen-fixing bacteria61648143.8
With nitrogen-fixing bacteria5191064.0
(a) Test whether or not the variances of the cereal crop yields are the same.
You should use a 10% level of significance and state your hypotheses and critical value clearly. (4)

A suitable test to determine whether there is an increase in mean cereal crop yield has a \(p\)-value of 0.002

(b)
(i) Explain the importance of the conclusion of the test in part (a) to this test.
(ii) Comment on the effectiveness of nitrogen-fixing bacteria on cereal crop yields. (2)

A2 June 2024 Q6

EdexcelCurrent spec12 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

6. A researcher set up a trial to assess the effect that a food supplement has on the increase in weight of Herdwick lambs. The researcher randomly selected 8 sets of twin lambs. One of each set of twins was given the food supplement and the other had no food supplement. The gain in weight, in kg, of each lamb over the period of the trial was recorded.

Set of twin lambs\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
Weight gain (kg)With food supplement4.15.36.03.65.94.27.16.4
No food supplement5.04.85.23.45.13.97.06.5
(a) State why a two sample \(t\)-test is not suitable for use with these data. (1)
(b) Suggest 2 other factors about the lambs that the researcher may need to control when selecting the sample. (2)
(c) State one assumption, in context, that needs to be made for a paired \(t\)-test to be valid. (1)

For a pair of twin lambs, the random variable \(W\) represents the weight gain of the lamb given the food supplement minus the weight gain of the lamb not given the food supplement.

(d) Using the data in the table, calculate a 98% confidence interval for the mean of \(W\)
Show your working clearly. (5)

The researcher believes that the mean of \(W\) is greater than 200 g

(e) Stating your hypotheses clearly, use your confidence interval to explain whether or not there is evidence to support the researcher’s belief. (3)

A2 June 2024 Q3

EdexcelCurrent spec8 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

3. A factory produces bolts. The lengths of the bolts are normally distributed with mean \(\mu\) mm and standard deviation 0.868 mm

A random sample of 15 of these bolts is taken and the mean length is 30.03 mm

(a) Calculate a 90% confidence interval for \(\mu\) (3)

A suitable test, at the 10% level of significance, is carried out using these 15 bolts, to see whether or not there is evidence that the variance of the length of the bolts has increased.

(b) Calculate the critical region for \(S^2\) (3)

The manager of the factory decides that, in future, he will check each month whether the machine making the bolts is working properly. He uses a 10% level of significance to test whether or not there is evidence that

  • the mean length of the bolts has changed
  • the variance of the length of the bolts has increased

The next month a random sample of 15 bolts is taken.

The mean length of these bolts is 30.06 mm and the standard deviation is 1.02 mm

(c) With reference to your answers to part (a) and part (b), state whether or not there is any evidence that the machine is not working properly.
Give reasons for your answer. (2)

A2 June 2023 Q5

EdexcelCurrent spec9 marksIncludes hypothesis testingt-Tests & Further Tests

5. A psychologist claims to have developed a technique to improve a person’s memory.

A random sample of 8 people are each given the same list of words to memorise and recall.

Each person then receives memory training from the psychologist. After the training, each person is given the same list of new words to memorise and recall.

The table shows the percentage of words recalled by each person before and after the training.

Person\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
Percentage of words recalled before training2433333930383234
Percentage of words recalled after training2830374132443534
(a) State why a paired \(t\)-test is suitable for these data. (1)
(b) State an assumption that needs to be made in order to carry out a paired \(t\)-test in this case. (1)
(c) Test, at the 5% level of significance, whether or not there is evidence of an increase in the percentage of words recalled after receiving the psychologist’s training.
State your hypotheses, test statistic and critical value used for this test. (7)

A2 June 2023 Q3

EdexcelCurrent spec8 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

3. Two machines, \(A\) and \(B\), are used to fill bottles of water. The amount of water dispensed by each machine is normally distributed.

Samples are taken from each machine and the amount of water, \(x\) ml, dispensed in each bottle is recorded. The table shows the summary statistics for Machine \(A\).

Sample size\(\sum x\)\(\sum x^2\)
Machine \(A\)92268571 700
(a) Find a 95% confidence interval for the variance of the amount of water dispensed in each bottle by Machine \(A\). (4)

For Machine \(B\), a random sample of 11 bottles is taken. The sample variance of the amount of water dispensed in bottles is 12.7 ml2

(b) Test, at the 10% level of significance, whether there is evidence that the variances of the amounts of water dispensed in bottles by the two machines are different.
You should state the hypotheses and the critical value used. (4)

A2 June 2023 Q2

EdexcelCurrent spec12 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

2. Camilo grows two types of apple, green apples and red apples.

The standard deviation of the weights of green apples is known to be 3.5 grams.

A random sample of 80 green apples has a mean weight of 128 grams.

(a) Find a 98% confidence interval for the mean weight of the population of green apples.
Show your working clearly and give the confidence interval limits to 2 decimal places. (3)

Camilo believes that the mean weight of the population of green apples is more than 10 grams greater than the mean weight of the population of red apples.

A random sample of \(n\) red apples has a mean weight of 117 grams.

The standard deviation of the weights of the red apples is known to be 4 grams.

A test of Camilo’s belief is carried out at the 5% level of significance.

(b) State the null and alternative hypotheses for this test. (1)
(c) Find the smallest value of \(n\) for which the null hypothesis will be rejected. (6)
(d) Explain the relevance of the Central Limit Theorem in parts (a) and (c). (1)
(e) Given that \(n = 85\), state the conclusion of the hypothesis test. (1)

A2 June 2022 Q5

EdexcelCurrent spec8 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

5. The concentration of an air pollutant is measured in micrograms/m3

Samples of air were taken at two different sites and the concentration of this particular air pollutant was recorded.

For Site \(A\) the summary statistics are shown below.

number of samples\(s_A^2\)
Site \(A\)136.39

For Site \(B\) there were 9 samples of air taken.

A test of the hypothesis \(\mathrm{H}_0 : \sigma_A^2 = \sigma_B^2\) against the hypothesis \(\mathrm{H}_1 : \sigma_A^2 \neq \sigma_B^2\) is carried out using a 2% level of significance.

(a) State a necessary assumption required to carry out the test. (1)

Given that the assumption in part (a) holds,

(b) find the set of values of \(s_B^2\) that would lead to the null hypothesis being rejected, (4)
(c) find a 99% confidence interval for the variance of the concentration of the air pollutant at Site \(\boldsymbol{A}\). (3)

A2 June 2022 Q4

EdexcelCurrent spec8 marksIncludes hypothesis testingt-Tests & Further Tests

4. A doctor believes that a four-week exercise programme can reduce the resting heart rate of her patients. She takes a random sample of 7 patients and records their resting heart rate before the exercise programme and again after the exercise programme.

Patient\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)
Resting heart rate before65687779808892
Resting heart rate after63657376808480
(a) Using a 5% level of significance, carry out an appropriate test of the doctor’s belief.
You should state your hypotheses, test statistic and critical value. (7)
(b) State the assumption made about the resting heart rates that was required to carry out the test. (1)

A2 June 2022 Q2

EdexcelCurrent spec12 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

2. A factory produces yellow tennis balls and white tennis balls. Independent samples, one of yellow tennis balls and one of white tennis balls, are taken. The table shows information about the weights of the yellow tennis balls, \(Y\) grams, and the weights of the white tennis balls, \(W\) grams.

Sample sizeMean weight of random sample (grams)Known population standard deviation of weights (grams)
Yellow tennis balls12057.21.2
White tennis balls14056.90.9
(a) Find a 95% confidence interval for the mean weight of yellow tennis balls. (3)

Jamie claims that the mean weight of the population of yellow tennis balls is greater than the mean weight of the population of white tennis balls. A test of Jamie’s claim is carried out.

(b)
(i) Specify the approximate distribution of \(\overline{Y} - \overline{W}\) under the null hypothesis of the test. (3)
(ii) Explain the relevance of the large sample sizes to your answer to part (i). (1)
(c) Complete the hypothesis test using a 5% level of significance.
You should state your hypotheses and the value of your test statistic clearly. (5)

A2 October 2021 Q6

EdexcelCurrent spec15 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

6. Elsa is collecting information on the wingspan of two different species of butterfly, Ringlet and Meadow Brown. She takes a random sample of each type of butterfly. The wingspans, \(w\) cm, are summarised in the table below. The wingspans of Ringlet and Meadow Brown butterflies each follow normal distributions.

Number of butterflies\(\sum w\)\(\sum w^2\)
Ringlet841021 032
Meadow Brown629414 426
(a) Test, at the 2% level of significance, whether or not there is evidence that the variance of the wingspans of Ringlet butterflies is different from the variance of the wingspans of Meadow Brown butterflies. You should state your hypotheses clearly. (7)

The \(k\)% confidence interval for the variance of the wingspans of Meadow Brown butterflies is (1.194, 48.54)

(b) Find the value of \(k\) (3)
(c) Calculate a 95% confidence interval for the difference between the mean wingspan of the Ringlet butterfly and the mean wingspan of the Meadow Brown butterfly. (5)

A2 October 2021 Q2

EdexcelCurrent spec9 marksIncludes hypothesis testingt-Tests & Further Tests

2. A company produces two colours of candles, blue and white. The standard deviation of the burning times of the blue candles is 2.6 minutes and the standard deviation of the burning times of the white candles is 2.4 minutes.

Nissim claims that the mean burning time of blue candles is more than 5 minutes greater than the mean burning time of white candles.

A random sample of 90 blue candles is found to have a mean burning time of 39.5 minutes. A random sample of 80 white candles is found to have a mean burning time of 33.7 minutes.

(a) Stating your hypotheses clearly, use a suitable test to assess Nissim’s belief. Use a 1% level of significance. (6)
(b) Explain how the hypothesis test in part (a) would be carried out differently if the variances of the burning times of candles were unknown. (1)

The burning times for the candles may not follow a normal distribution.

(c) Describe the effect this would have on the calculations in the hypothesis test in part (a).
Give a reason for your answer. (2)

A2 October 2020 Q6

EdexcelCurrent spec12 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

6. A new employee, Kim, joins an existing employee, Jiang, to work in the quality control department of a company producing steel rods.
Each day a random sample of rods is taken, their lengths measured and a 95% confidence interval for the mean length of the rods, in metres, is calculated. It is assumed that the lengths of the rods produced are normally distributed.

Kim took a random sample of 25 rods and used the \(t\) distribution to obtain a 95% confidence interval of (1.193, 1.367) for the mean length of the rods.
Jiang commented that this interval was a little wider than usual and explained that they usually assume that the standard deviation does not change and can be taken as 0.175 metres.

(a) Test, at the 10% level of significance, whether or not Kim’s sample suggests that the standard deviation is different from 0.175 metres. State your hypotheses clearly. (9)

Using Kim’s sample and the normal distribution with a standard deviation of 0.175 metres,

(b) find a 95% confidence interval for the mean length of the rods. (3)

A2 October 2020 Q1

EdexcelCurrent spec6 marksIncludes hypothesis testingt-Tests & Further Tests

1. Gina receives a large number of packages from two companies, \(A\) and \(B\). She believes that the variance of the weights of packages from company \(A\) is greater than the variance of the weights of packages from company \(B\).

Gina takes a random sample of 7 packages from company \(A\) and an independent random sample of 10 packages from company \(B\). Her results are summarised below

\[\bar{a} = 300 \qquad \mathrm{S}_{aa} = 145\,496 \qquad \bar{b} = 233.4 \qquad \mathrm{S}_{bb} = 56\,364.4\]

[You may assume that the weights of packages from the two companies are normally distributed.]

Test Gina’s belief. Use a 5% level of significance and state your hypotheses clearly. (6)

A2 June 2019 Q6

EdexcelCurrent spec9 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

6. A company manufactures bolts. The diameter of the bolts follows a normal distribution with a mean diameter of 5 mm.

Stan believes that the mean diameter of the bolts is less than 5 mm. He takes a random sample of 10 bolts and measures their diameters. He calculates some statistics but spills ink on his work before completing them. The only information he has left is as follows

Stan’s ink-stained notes. Visible: 4.5 4.5 5.5 4.8 4.9 4.7 5 (rest hidden by ink); X ~ N(5 (rest hidden); Σx = 48.4; x̄ = (hidden); 99% confidence interval for the variance is = (0.01712, 0.23280)

Stating your hypotheses clearly, test, at the 5% level of significance, whether or not Stan’s belief is supported. (9)

A2 June 2019 Q5

EdexcelCurrent spec7 marksIncludes hypothesis testingt-Tests & Further Tests

5. Alexa believes that students are equally likely to achieve the same percentage score on each of two tests, paper I and paper II. She randomly selects 8 students and gives them each paper I and paper II. The percentage scores for each paper are recorded.

The following paired data are collected.

Student\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
Paper I (%)7070848064656590
Paper II (%)6476727468645876

Test, at the 1% significance level, whether or not there is evidence to support Alexa’s belief.
State your hypotheses clearly and show your working. (7)

A2 June 2019 Q3

EdexcelCurrent spec8 marksIncludes hypothesis testingt-Tests & Further Tests

3. Yin grows two varieties of potato, plant \(A\) and plant \(B\). A random sample of each variety of potato is taken and the yield, \(x\) kg, produced by each plant is measured. The following statistics are obtained from the data.

Number of plants\(\sum x\)\(\sum x^2\)
\(A\)25194.71637.37
\(B\)26227.52031.19
(a) Stating your hypotheses clearly, test, at the 10% significance level, whether or not the variances of the yields of the two varieties of potato are the same. (7)
(b) State an assumption you have made in order to carry out the test in part (a). (1)

S4 June 2018 Q4

EdexcelOld spec17 marksIncludes hypothesis testingt-Tests & Further Tests

4. A glue supplier claims that Goglue is stronger than Tackfast. A company is presently using Tackfast but agrees to change to Goglue if, at the 5% significance level,

  • the standard deviation of the force required for Goglue to fail is not greater than the standard deviation of the force required for Tackfast to fail
    and
  • the mean force required for Goglue to fail is more than 4 newtons greater than the mean force for Tackfast to fail.

A series of trials is carried out, using Goglue and Tackfast, and the glues are tested to destruction. The force, \(x\) newtons, at which each glue fails is recorded.

Sample size (\(n\))Sample mean (\(\bar{x}\))Standard deviation (\(s\))
Tackfast (\(T\))65.270.31
Goglue (\(G\))510.120.66

It can be assumed that the force at which each glue fails is normally distributed.

(a) Test, at the 5% level of significance, whether or not there is evidence that the standard deviation of the force required for Goglue to fail is greater than the standard deviation of the force required for the Tackfast to fail. State your hypotheses clearly. (5)

The supplier claims that the mean force required for its Goglue to fail is more than 4 newtons greater than the mean force required for Tackfast to fail.

(b) Stating your hypotheses clearly and using a 5% level of significance, test the supplier’s claim. (7)
(c) Show that, at the 5% level of significance, the supplier’s claim will be accepted if \(\bar{X}_G - \bar{X}_T \gt 4.55\), where \(\bar{X}_G\) and \(\bar{X}_T\) are the mean forces required for Goglue to fail and Tackfast to fail respectively. (2)

Later, it was found that an error had been made when recording the results for Goglue. This resulted in all the forces recorded for Goglue being 0.5 newtons more than they should have been. The results for Tackfast were correct.

(d) Explain whether or not this information affects the decision about which glue the supplier decides to use. (3)

S4 June 2018 Q3

EdexcelOld spec10 marksIncludes hypothesis testingt-Tests & Further Tests

3. A random sample of 8 students is selected from a school database.

Each student’s reaction time is measured at the start of the school day and again at the end of the school day. The reaction times, in milliseconds, are recorded below.

Student\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
Reaction time at the start of the school day10.87.28.76.89.410.911.17.6
Reaction time at the end of the school day106.18.85.78.78.19.86.8
(a) State one assumption that needs to be made in order to carry out a paired \(t\)-test. (1)

The random variable \(R\) is the reaction time at the start of the school day minus the reaction time at the end of the school day. The mean of \(R\) is \(\mu\).

John uses a paired \(t\)-test to test the hypotheses

\[\mathrm{H}_0 : \mu = m \qquad\qquad \mathrm{H}_1 : \mu \ne m\]

Given that \(\mathrm{H}_0\) is rejected at the 5% level of significance but accepted at the 1% level of significance,

(b) find the ranges of possible values for \(m\). (9)

S3 June 2018 Q2

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

2. Merchandise is sold at concerts. The manager of a concert claims that the mean value of merchandise sold to premium ticket holders is more than £6 greater than the mean value of merchandise sold to standard ticket holders.

(a) Given that all the tickets for the next concert have been sold, describe how a stratified sample should be taken at the concert. (3)

The mean value of merchandise sold to a random sample of 60 standard ticket holders at the concert is £15 with a standard deviation of £10.

The mean value of merchandise sold to a random sample of 55 premium ticket holders at the concert is £23 with a standard deviation of £8.

(b) Test the manager’s claim at the 5% level of significance. State your hypotheses clearly. (8)
(c) For the test in part (b), state whether or not it is necessary to assume that values of merchandise sold have normal distributions. Give a reason for your answer. (2)

S4 June 2018 Q1

EdexcelOld spec5 marksIncludes hypothesis testingt-Tests & Further Tests

1. A machine fills packets with almonds. The weight, in grams, of almonds in a packet is modelled by \(\mathrm{N}(\mu, \sigma^2)\). To check that the machine is working properly, a random sample of 10 packets is selected and unbiased estimates for \(\mu\) and \(\sigma^2\) are

\[\bar{x} = 202 \qquad \text{and} \qquad s^2 = 3.6\]

Stating your hypotheses clearly, test, at the 1% level of significance, whether or not the mean weight of almonds in a packet is more than 200 g. (5)

S3 June 2017 Q6

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

6. An engineer has developed a new battery. She claims that the new battery will last more than 8 hours longer, on average, than the old battery. To test the claim, the engineer randomly selects a sample of 50 new batteries and 40 old batteries. She records how long each battery lasts, \(x\) hours for the new batteries and \(y\) hours for the old batteries. The results are summarised in the table below.

\(n\)Sample mean\(s^2\)
New battery50\(\bar{x} = 83\)7
Old battery40\(\bar{y} = 74\)6
(a) Test, at the 5% level of significance, whether or not there is evidence to support the engineer’s claim. State your hypotheses and show your working clearly. (7)
(b) Explain the relevance of the Central Limit Theorem to the test in part (a). (2)

S4 June 2017 Q4

EdexcelOld spec12 marksIncludes hypothesis testingt-Tests & Further Tests

4. A coach believes that the average score in the final round of a golf tournament is more than one point below the average score in the first round. To test this belief, the scores of 8 randomly selected players are recorded. The results are given in the table below.

Player\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
First round7680727883888172
Final round7078757579848369
(a)
(i) State why a paired \(t\)-test is suitable for use with these data.
(ii) State an assumption that needs to be made in order to carry out a paired \(t\)-test in this case. (2)
(b) Test, at the 5% level of significance, whether or not there is evidence to support the coach’s belief. Show your working clearly. (8)
(c) Explain, in the context of the coach’s belief, what a Type II error would be in this case. (2)

S4 June 2017 Q3

EdexcelOld spec11 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

3. The lengths, \(X\) mm, of the wings of adult blackbirds follow a normal distribution. A random sample of 5 adult blackbirds is taken and the lengths of the wings are measured. The results are summarised below

\[\sum x = 655 \quad \text{and} \quad \sum x^2 = 85\,845\]
(a) Test, at the 10% level of significance, whether or not the mean length of an adult blackbird’s wing is less than 135 mm. State your hypotheses clearly. (7)
(b) Find the 90% confidence interval for the variance of the lengths of adult blackbirds’ wings. Show your working clearly. (4)

S4 June 2017 Q1

EdexcelOld spec14 marksIncludes hypothesis testingt-Tests & Further Tests

1. The times taken by children to run 150 m are normally distributed. The times taken, \(x\) seconds, by a random sample of 9 boys and an independent random sample of 6 girls are recorded. The following statistics are obtained.

Number of childrenSample mean \(\bar{x}\)\(\sum x^2\)
Boys922.84693.60
Girls629.55236.12
(a) Test, at the 10% level of significance, whether or not the variances of the two distributions are equal. State your hypotheses clearly. (7)

The Headteacher claims that the mean time taken for the girls is more than 5 seconds greater than the mean time taken for the boys.

(b) Stating your hypotheses clearly, test the Headteacher’s claim. Use a 1% level of significance and show your working clearly. (7)

S4 June 2016 Q5

EdexcelOld spec14 marksIncludes hypothesis testingt-Tests & Further Tests

5. Fire brigades in cities \(X\) and \(Y\) are in similar locations. The response times, in minutes, during a particular month, for randomly selected calls are summarised in the table below.

Sample sizeSample meanStandard deviation
\(s\)
\(X\)914.86.76
\(Y\)67.25.42

You may assume that the response times are from independent normal distributions.

Stating your hypotheses and showing your working clearly

(a) test, at the 10% level of significance, whether or not the variances of the populations from which the response times are drawn are the same, (5)
(b) test, at the 5% level of significance, whether or not the mean response time for the fire brigade in city \(X\) is more than 5 minutes longer than the mean response time for the fire brigade in city \(Y\). (8)
(c) Explain why your result in part (a) enables you to carry out the test in part (b). (1)

S3 June 2016 Q5

EdexcelOld spec12 marksIncludes hypothesis testingt-Tests & Further Tests

5. A doctor claims there is a higher mean lung capacity in people who exercise regularly compared to people who do not exercise regularly. He measures the lung capacity, \(x\), of 35 people who exercise regularly and 42 people who do not exercise regularly. His results are summarised in the table below.

\(n\)\(\bar{x}\)\(s^2\)
Exercise regularly3526.312.2
Do not exercise regularly4224.810.1
(a) Test, at the 5% level of significance, the doctor’s claim. State your hypotheses clearly. (6)
(b) State any assumptions you have made in testing the doctor’s claim. (2)

The doctor decides to add another person who exercises regularly to his data. He measures the person’s lung capacity and finds \(x = 31.7\)

(c) Find the unbiased estimate of the variance for the sample of 36 people who exercise regularly. Give your answer to 3 significant figures. (4)

S4 June 2016 Q2

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

2. The weights of piglets at birth, \(M\) kg, are normally distributed \(\mathrm{N}(\mu, \sigma^2)\)

A random sample of 9 piglets is taken and their weights at birth, \(m\) kg, are recorded. The results are summarised as

\[\sum m = 11.6 \qquad \sum m^2 = 15.2\]

Stating your hypotheses clearly, test at the 5% level of significance

(a) whether or not the mean weight of piglets at birth is greater than 1.2 kg, (7)
(b) whether or not the standard deviation of the weights of piglets at birth is different from 0.3 kg. (6)

S4 June 2016 Q1

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

1. A new diet has been designed. Its designers claim that following the diet for a month will result in a mean weight loss of more than 2 kg. In a trial, a random sample of 10 people followed the new diet for a month. Their weights, in kg, before starting the diet and their weights after following the diet for a month were recorded. The results are given in the table below.

Person\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)\(I\)\(J\)
Weight before diet (kg)96110116981219198106110116
Weight after diet (kg)91101111961219190101104110
(a) Using a suitable \(t\)-test, at the 5% level of significance, state whether or not the trial supports the designers’ claim. State your hypotheses and show your working clearly. (8)
(b) State an assumption necessary for the test in part (a). (1)

S4 June 2015 Q5

EdexcelOld spec9 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

5. A researcher is investigating the accuracy of IQ tests. One company offers IQ tests that it claims will give any individual’s IQ with a standard deviation of 5

The researcher takes these tests 9 times with the following results

123,   118,   127,   120,   134,   120,   118,   135,   121

(a) Find the sample mean, \(\bar{x}\), and the sample variance, \(s^2\), of these scores. (2)

Given that any individual’s IQ scores on these tests are independent and have a normal distribution,

(b) use the hypotheses \[\mathrm{H}_0 : \sigma^2 = 25 \quad \text{against} \quad \mathrm{H}_1 : \sigma^2 \gt 25\] to test the company’s claim at the 5% significance level. (4)

Gurdip works for the company and has taken these IQ tests 12 times. Gurdip claims that the sample variance of these 12 scores is \(s^2 = 8.17\)

(c) Use this value of \(s^2\) to calculate a 95% confidence interval for the variance of Gurdip’s IQ test scores.
[You may use \(\mathrm{P}(\chi^2_{11} \gt 3.816) = 0.975\) and \(\mathrm{P}(\chi^2_{11} \gt 21.920) = 0.025\)] (2)
(d) Assuming that \(\sigma^2 = 25\), comment on Gurdip’s claim. (1)

S4 June 2015 Q3

EdexcelOld spec14 marksIncludes hypothesis testingt-Tests & Further Tests

3. As part of their research two sports science students, Ali and Bea, select a random sample of 10 adult male swimmers and a random sample of 13 adult male athletes from local sports clubs. They measure the arm span, \(x\) cm, of each person selected.
The data are summarised in the table below

\(n\)\(s^2\)\(\bar{x}\)
Swimmers1048195
Athletes13161186

The students know that the arm spans of adult male swimmers and of adult male athletes may each be assumed to be normally distributed.
They decide to share out the data analysis, with Ali investigating the means of the two distributions and Bea investigating the variances of the two distributions.

Ali assumes that the variances of the two distributions are equal. She calculates the pooled estimate of variance, \({s_p}^2\)

(a) Show that \({s_p}^2 = 112.6\) to 1 decimal place. (2)

Ali claims that there is no difference in the mean arm spans of adult male swimmers and of adult male athletes.

(b) Stating your hypotheses clearly, test this claim at the 10% level of significance. (5)

Bea believes that the variances of the arm spans of adult male swimmers and adult male athletes are not equal.

(c) Show that, at the 10% level of significance, the data support Bea’s belief. State your hypotheses and show your working clearly. (5)

Ali and Bea combine their work and present their results to their tutor, Clive.

(d) Explain why Clive is not happy with their research and state, with a reason, which of the tests in parts (b) and (c) is not valid. (2)

S4 June 2015 Q2

EdexcelOld spec14 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

2. Fred is a new employee in a delicatessen. He is asked to cut cheese into 100 g blocks. A random sample of 8 of these blocks of cheese is selected. The weight, in grams, of each block of cheese is given below

94,   106,   115,   98,   111,   104,   113,   102

(a) Calculate a 90% confidence interval for the standard deviation of the weights of the blocks of cheese cut by Fred. (6)

Given that the weights of the blocks of cheese are independent,

(b) state what further assumption is necessary for this confidence interval to be valid. (1)

The delicatessen manager expects the standard deviation of the weights of the blocks of cheese cut by an employee to be less than 5 g. Any employee who does not achieve this target is given training.

(c) Use your answer from part (a) to comment on Fred’s results. (1)

A second employee, Olga, has just been given training. Olga is asked to cut cheese into 100 g blocks. A random sample of 20 of these blocks of cheese is selected. The weight of each block of cheese, \(x\) grams, is recorded and the results are summarised below.

\[\bar{x} = 102.6 \qquad s^2 = 19.4\]

Given that the assumption in part (b) is also valid in this case,

(d) test, at a 10% level of significance, whether or not the mean weight of the blocks of cheese cut by Olga after her training is 100 g. State your hypotheses clearly. (6)

S3 June 2015 Q2

EdexcelOld spec10 marksIncludes hypothesis testingt-Tests & Further Tests

2. A researcher believes that the mean weight loss of those people using a slimming plan as part of a group is more than 1.5 kg a year greater than the mean weight loss of those using the plan on their own. The mean weight loss of a random sample of 80 people using the plan as part of a group is 8.7 kg with a standard deviation of 2.1 kg. The mean weight loss of a random sample of 65 people using the plan on their own is 6.6 kg with a standard deviation of 1.4 kg.

(a) Stating your hypotheses clearly, test the researcher’s claim. Use a 1% level of significance. (8)
(b) For the test in part (a), state whether or not it is necessary to assume that the weight loss of a person using this plan has a normal distribution. Give a reason for your answer. (2)

S4 June 2015 Q1

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

1. The Sales Manager of a large chain of convenience stores is studying the sale of lottery tickets in her stores. She randomly selects 8 of her stores. From these stores she collects data for the total sales of lottery tickets in the previous January and July. The data are shown below

StoreABCDEFGH
January ticket sales (£)10801639710110891510661322819
July ticket sales (£)11131702831104886110901303852
(a) Use a paired \(t\)-test to determine whether or not there is evidence, at the 5% level of significance, that the mean sales of lottery tickets in this chain’s stores are higher in July than in January. You should state your hypotheses and show your working clearly. (8)
(b) State what assumption the Sales Manager needs to make about the sales of lottery tickets in her stores for the test in part (a) to be valid. (1)

S3 June 2014 (R) Q5

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

5. A student believes that there is a difference in the mean lengths of English and French films. He goes to the university video library and randomly selects a sample of 120 English films and a sample of 70 French films. He notes the length, \(x\) minutes, of each of the films in his samples. His data are summarised in the table below.

\(\Sigma x\)\(\Sigma x^2\)\(s^2\)\(n\)
English films10650956 90998.5120
French films6510615 84915170
(a) Verify that the unbiased estimate of the variance, \(s^2\), of the lengths of English films is 98.5 minutes\(^2\) (2)
(b) Stating your hypotheses clearly, test, at the 1% level of significance, whether or not the mean lengths of English and French films are different. (7)
(c) Explain the significance of the Central Limit Theorem to the test in part (b). (1)
(d) The university video library contained 724 English films and 473 French films. Explain how the student could have taken a stratified sample of 190 of these films. (3)

S4 June 2014 (R) Q4

EdexcelOld spec12 marksIncludes hypothesis testingt-Tests & Further Tests

4. At the start of each academic year, a large college carries out a diagnostic test on a random sample of new students. Past experience has shown that the standard deviation of the scores on this test is 19.71

The admissions tutor claimed that the new students in 2013 would have more varied scores than usual. The scores for the students taking the test can be assumed to come from a normal distribution. A random sample of 10 new students was taken and the score \(x\), for each student was recorded. The data are summarised as \(\sum x = 619\) \(\sum x^2 = 42397\)

(a) Stating your hypotheses clearly, and using a 5% level of significance, test the admission tutor’s claim. (6)

The admissions tutor decides that in future he will use the same hypotheses but take a larger sample of size 30 and use a significance level of 1%.

(b) Use the tables to show that, to 3 decimal places, the critical region for \(S^2\) is \(S^2 \gt 664.281\) (3)
(c) Find the probability of a type II error using this test when the true value of the standard deviation is in fact 22.20 (3)

S4 June 2014 (R) Q3

EdexcelOld spec12 marksIncludes hypothesis testingt-Tests & Further Tests

3. A farmer is investigating the milk yields of two breeds of cow. He takes a random sample of 9 cows of breed \(A\) and an independent random sample of 12 cows of breed \(B\). For a 5 day period he measures the amount of milk, \(x\) gallons, produced by each cow. The results are summarised in the table below.

BreedSample sizeMean (\(\bar{x}\))Standard deviation (\(s_x\))
\(A\)96.232.98
\(B\)127.132.33

The amount of milk produced by each cow can be assumed to follow a normal distribution.

(a) Use a two-tail test to show, at the 10% level of significance, that the variances of the yields of the two breeds can be assumed to be equal. State your hypotheses clearly. (4)
(b) Stating your hypotheses clearly, test, at the 5% level of significance, whether or not there is a difference in the mean yields of the two breeds of cow. (7)
(c) Explain briefly the importance of the test in part (a) for the test in part (b). (1)

S4 June 2014 (R) Q1

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

1. In a trial for a new cough medicine, a random sample of 8 healthy patients were given steadily increasing doses of a pepper extract until they started coughing. The level of pepper that triggered the coughing was recorded. Each patient completed the trial after taking a standard cough medicine and, at a later time, after taking the new medicine. The results are given in the table below.

Level of pepper extract that triggers coughing
Patient\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
Standard medicine461218312316279
New medicine5316134911343822
(a) Using a suitable test, at the 5% level of significance, state whether or not, on the basis of this trial, you would recommend using the new medicine. State your hypotheses clearly. (8)
(b) State an assumption needed to carry out this test. (1)

S4 June 2014 Q7

EdexcelOld spec14 marksIncludes hypothesis testingt-Tests & Further Tests

7. Two groups of students take the same examination.

A random sample of students is taken from each of the groups.

The marks of the 9 students from Group 1 are as follows

30   29   35   27   23   33   33   35   28

The marks, \(x\), of the 7 students from Group 2 gave the following statistics

\[\bar{x} = 31.29 \qquad s^2 = 12.9\]

A test is to be carried out to see whether or not there is a difference between the mean marks of the two groups of students.

You may assume that the samples are taken from normally distributed populations and that they are independent.

(a) State one other assumption that must be made in order to apply this test and show that this assumption is reasonable by testing it at a 10% level of significance. State your hypotheses clearly. (7)
(b) Stating your hypotheses clearly, test, using a significance level of 5%, whether or not there is a difference between the mean marks of the two groups of students. (7)

S4 June 2014 Q4

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

4. A random sample of 8 people were given a new drug designed to help people sleep.

In a two-week period the drug was given for one week and a placebo (a tablet that contained no drug) was given for one week.

In the first week 4 people, selected at random, were given the drug and the other 4 people were given the placebo. Those who were given the drug in the first week were given the placebo in the second week. Those who were given the placebo in the first week were given the drug in the second week.

The mean numbers of hours of sleep per night for each of the people are shown in the table.

Person\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
Hours of sleep with drug10.87.28.76.89.410.911.17.6
Hours of sleep with placebo10.06.59.05.68.78.09.86.8
(a) State one assumption that needs to be made in order to carry out a paired \(t\)-test. (1)
(b) Stating your hypotheses clearly, test, at the 1% level of significance, whether or not the drug increases the mean number of hours of sleep per night by more than 10 minutes. State the critical value for this test. (8)

S4 June 2014 Q1

EdexcelOld spec5 marksIncludes hypothesis testingt-Tests & Further Tests

1. A production line is designed to fill bottles with oil. The amount of oil placed in a bottle is normally distributed and the mean is set to 100 ml.

The amount of oil, \(x\) ml, in each of 8 randomly selected bottles is recorded, and the following statistics are obtained.

\[\bar{x} = 92.875 \qquad s = 8.3055\]

Malcolm believes that the mean amount of oil placed in a bottle is less than 100 ml.

Stating your hypotheses clearly, test, at the 5% significance level, whether or not Malcolm’s belief is supported. (5)

S3 June 2013 (R) Q7

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

7. A farmer monitored the amount of lead in soil in a field next to a factory. He took 100 samples of soil, randomly selected from different parts of the field, and found the mean weight of lead to be 67 mg/kg with standard deviation 25 mg/kg.

After the factory closed, the farmer took 150 samples of soil, randomly selected from different parts of the field, and found the mean weight of lead to be 60 mg/kg with standard deviation 10 mg/kg.

(a) Test at the 5% level of significance whether or not the mean weight of lead in the soil decreased after the factory closed. State your hypotheses clearly. (7)
(b) Explain the significance of the Central Limit Theorem to the test in part (a). (1)
(c) State an assumption you have made to carry out this test. (1)

S4 June 2013 (R) Q6

EdexcelOld spec10 marksIncludes hypothesis testingt-Tests & Further Tests

6. A machine fills bottles with water. The amount of water in each bottle is normally distributed. To check the machine is working properly, a random sample of 12 bottles is selected and the amount of water, in ml, in each bottle is recorded. Unbiased estimates for the mean and variance are

\[\hat{\mu} = 502 \qquad s^2 = 5.6\]

Stating your hypotheses clearly, test at the 1% level of significance

(a) whether or not the mean amount of water in a bottle is more than 500 ml, (5)
(b) whether or not the standard deviation of the amount of water in a bottle is less than 3 ml. (5)

S4 June 2013 (R) Q5

EdexcelOld spec8 marksIncludes hypothesis testingt-Tests & Further Tests

5. Students studying for their Mathematics GCSE are assessed by two examination papers. A teacher believes that on average the score on paper I is more than 1 mark higher than the score on paper II. To test this belief the scores of 8 randomly selected students are recorded. The results are given in the table below.

Student\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
Score on paper I5763688143655231
Score on paper II5362617844644329

Assuming that the scores are normally distributed and stating your hypotheses clearly, test at the 5% level of significance whether or not there is evidence to support the teacher’s belief. (8)

S4 June 2013 (R) Q4

EdexcelOld spec15 marksIncludes hypothesis testingt-Tests & Further Tests

4. A company carries out an investigation into the strengths of rods from two different suppliers, Ardo and Bards. Independent random samples of rods were taken from each supplier and the force, \(x\) kN, needed to break each rod was recorded. The company wrote the results on a piece of paper but unfortunately spilt ink on it so some of the results can not be seen.
The paper with the results on is shown below.

Ink-stained results. Ardo: 13.1, 13.6, 13.2, 13.8, 12.8, 13.5, 13.8. Bards: 15.3, 15.5, 14.1, 15.4, 14.2, 15.4, the rest hidden. Ardo n_A = 7, mean 13.4; Bards n_B = 9, mean 14.8; variances hidden. Pooled estimate of variance = 0.261
(a)
(i) Use the data from Ardo to calculate an unbiased estimate, \(s_A^2\), of the variance.
(ii) Hence find an unbiased estimate, \(s_B^2\), of the variance for the sample of 9 values from Bards. (4)
(b) Stating your hypotheses clearly, test at the 10% level of significance whether or not there is a difference in variability of strength between the rods from Ardo and the rods from Bards.
(You may assume the two samples come from independent normal distributions.) (5)
(c) Use a 5% level of significance to test whether the mean strength of rods from Bards is more than 0.9 kN greater than the mean strength of rods from Ardo. (6)

S4 June 2013 (R) Q1

EdexcelOld spec4 markst-Tests & Further Tests

1.

(a) Find the value of the constant \(a\) such that \[\mathrm{P}(1.690 \lt \chi^2_7 \lt a) = 0.95\] (2)

The random variable \(Y\) follows an \(F\)-distribution with 6 and 4 degrees of freedom.

(b)
(i) Find the upper 1% critical value for \(Y\).
(ii) Find the lower 1% critical value for \(Y\). (2)

S4 June 2013 Q6

EdexcelOld spec13 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

6. The carbon content, measured in suitable units, of steel is normally distributed. Two independent random samples of steel were taken from a refining plant at different times and their carbon content recorded. The results are given below.

Sample \(A\):    1.5    0.9    1.3    1.2

Sample \(B\):    0.4    0.6    0.8    0.3    0.5    0.4

(a) Stating your hypotheses clearly, carry out a suitable test, at the 10% level of significance, to show that both samples can be assumed to have come from populations with a common variance \(\sigma^2\). (7)
(b) Showing your working clearly, find the 99% confidence interval for \(\sigma^2\) based on both samples. (6)

S3 June 2013 Q6

EdexcelOld spec11 marksIncludes hypothesis testingt-Tests & Further Tests

6. Fruit-n-Veg4U Market Gardens grow tomatoes. They want to improve their yield of tomatoes by at least 1 kg per plant by buying a new variety. The variance of the yield of the old variety of plant is 0.5 kg2 and the variance of the yield for the new variety of plant is 0.75 kg2. A random sample of 60 plants of the old variety has a mean yield of 5.5 kg. A random sample of 70 of the new variety has a mean yield of 7 kg.

(a) Stating your hypotheses clearly test, at the 5% level of significance, whether or not there is evidence that the mean yield of the new variety is more than 1 kg greater than the mean yield of the old variety. (9)
(b) Explain the relevance of the Central Limit Theorem to the test in part (a). (2)

S4 June 2013 Q3

EdexcelOld spec12 marksIncludes hypothesis testingt-Tests & Further Tests

3. An archaeologist is studying the compression strength of bricks at some ancient European sites. He took random samples from two sites \(A\) and \(B\) and recorded the compression strength of these bricks in appropriate units. The results are summarised below.

SiteSample size (\(n\))Sample mean (\(\bar{x}\))Standard deviation (\(s\))
\(A\)78.434.24
\(B\)1314.314.37

It can be assumed that the compression strength of bricks is normally distributed.

(a) Test, at the 2% level of significance, whether or not there is evidence of a difference in the variances of compression strength of the bricks between these two sites. State your hypotheses clearly. (5)

Site \(A\) is older than site \(B\) and the archaeologist claims that the mean compression strength of the bricks was greater at the younger site.

(b) Stating your hypotheses clearly and using a 1% level of significance, test the archaeologist’s claim. (6)
(c) Explain briefly the importance of the test in part (a) to the test in part (b). (1)

S4 June 2013 Q2

EdexcelOld spec10 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

2. Every 6 months some engineers are tested to see if their times, in minutes, to assemble a particular component have changed. The times taken to assemble the component are normally distributed. A random sample of 8 engineers was chosen and their times to assemble the component were recorded in January and in July. The data are given in the table below.

Engineer\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)
January1719222615281821
July1918252417251619
(a) Calculate a 95% confidence interval for the mean difference in times. (7)
(b) Use your confidence interval to state, giving a reason, whether or not there is evidence of a change in the mean time to assemble a component. State your hypotheses clearly. (3)

S4 June 2013 Q1

EdexcelOld spec7 marksIncludes hypothesis testingt-Tests & Further Tests

1. George owns a garage and he records the mileage of cars, \(x\) thousands of miles, between services. The results from a random sample of 10 cars are summarised below.

\[\sum x = 113.4 \qquad \sum x^2 = 1414.08\]

The mileage of cars between services is normally distributed and George believes that the standard deviation is 2.4 thousand miles.

Stating your hypotheses clearly, test, at the 5% level of significance, whether or not these data support George’s belief. (7)

S4 June 2012 Q5

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

5. Boxes of chocolates manufactured by Philippe have a mean weight of \(\mu\) grams and a standard deviation of \(\sigma\) grams. A random sample of 25 of these boxes are weighed. Using this sample, the unbiased estimate of \(\mu\) is 455 and the unbiased estimate of \(\sigma^2\) is 55.

(a) Test, at the 5% level of significance, whether or not \(\sigma\) is greater than 6. State your hypotheses clearly. (6)
(b) Test, at the 5% level of significance, whether or not \(\mu\) is more than 450. (6)
(c) State an assumption you have made in order to carry out the above tests. (1)

S3 June 2012 Q5

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

5. Mr Alan and Ms Burns are two Mathematics teachers teaching mixed ability groups of students in a large college. At the end of the college year all students took the same examination. A random sample of 29 of Mr Alan’s students and a random sample of 26 of Ms Burns’ students are chosen. The results are summarised in the table below.

Sample Size, \(n\)Mean, \(\bar{x}\)Standard Deviation, \(s\)
Mr Alan298010
Ms Burns267415
(a) Stating your hypotheses clearly, test, at the 10% level of significance whether there is evidence that there is a difference in the mean scores of their students. (6)

Ms Burns thinks the comparison was unfair as the examination was set by Mr Alan. She looks up a different set of examination results for these students and, although Mr Alan’s sample has a higher mean, she calculates the test statistic for this new set of results to be 1.6

However, Mr Alan now claims that the mean marks of his students are higher than the mean marks of Ms Burns’ students.

(b) Test Mr Alan’s claim, stating the hypotheses and critical values you would use.
Use a 10% level of significance. (3)

S4 June 2012 Q3

EdexcelOld spec5 marksIncludes hypothesis testingt-Tests & Further Tests

3. The sample variance of the lengths of a random sample of 9 paving slabs sold by a builders’ merchant is 36 mm2. The sample variance of the lengths of a random sample of 11 paving slabs sold by a second builders’ merchant is 225 mm2. Test at the 10% significance level whether or not there is evidence that the lengths of paving slabs sold by these builders’ merchants differ in variability. State your hypotheses clearly.

(You may assume the lengths of paving slabs are normally distributed.) (5)

S4 June 2012 Q2

EdexcelOld spec16 marksIncludes hypothesis testingt-Tests & Further Tests

2. A biologist investigating the shell size of turtles takes random samples of adult female and adult male turtles and records the length, \(x\) cm, of the shell. The results are summarised below.

Number in sampleSample mean \(\bar{x}\)\(\sum x^2\)
Female619.62308.01
Male1213.72262.57

You may assume that the samples come from independent normal distributions with the same variance.

The biologist claims that the mean shell length of adult female turtles is 5 cm longer than the mean shell length of adult male turtles.

(a) Test the biologist’s claim at the 5% level of significance. (10)
(b) Given that the true values for the variance of the population of adult male turtles and adult female turtles are both 0.9 cm2,
(i) show that when samples of size 6 and 12 are used with a 5% level of significance, the biologist’s claim will be accepted if \(4.07 \lt \bar{X}_F - \bar{X}_M \lt 5.93\) where \(\bar{X}_F\) and \(\bar{X}_M\) are the mean shell lengths of females and males respectively.
(ii) Hence find the probability of a type II error for this test if in fact the true mean shell length of adult female turtles is 6 cm more than the mean shell length of adult male turtles. (6)

S4 June 2012 Q1

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

1. A medical student is investigating whether there is a difference in a person’s blood pressure when sitting down and after standing up. She takes a random sample of 12 people and measures their blood pressure, in mmHg, when sitting down and after standing up.

The results are shown below.

Person\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)\(I\)\(J\)\(K\)\(L\)
Sitting down135146138146141158136135146161119151
Standing up131147132140138160127136142154130144

The student decides to carry out a paired \(t\)-test to investigate whether, on average, the blood pressure of a person when sitting down is more than their blood pressure after standing up.

(a) State clearly the hypotheses that should be used and any necessary assumption that needs to be made. (2)
(b) Carry out the test at the 1% level of significance. (7)

S4 June 2011 Q7

EdexcelOld spec18 marksIncludes hypothesis testingt-Tests & Further Tests

7. A machine produces components whose lengths are normally distributed with mean 102.3 mm and standard deviation 2.8 mm. After the machine had been serviced, a random sample of 20 components were tested to see if the mean and standard deviation had changed. The lengths, \(x\) mm, of each of these 20 components are summarised as

\[\sum x = 2072 \qquad \sum x^2 = 214\,856\]
(a) Stating your hypotheses clearly, test, at the 5% level of significance, whether or not there is evidence of a change in standard deviation. (7)
(b) Stating your hypotheses clearly, test, at the 5% level of significance, whether or not the mean length of the components has changed from the original value of 102.3 mm using
(i) a normal distribution,
(ii) a \(t\) distribution. (9)
(c) Comment on the mean length of components produced after the service in the light of the tests from part (a) and part (b). Give a reason for your answer. (2)

S3 June 2011 Q7

EdexcelOld spec16 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

7. Roastie’s Coffee is sold in packets with a stated weight of 250 g. A supermarket manager claims that the mean weight of the packets is less than the stated weight. She weighs a random sample of 90 packets from their stock and finds that their weights have a mean of 248 g and a standard deviation of 5.4 g.

(a) Using a 5% level of significance, test whether or not the manager’s claim is justified. State your hypotheses clearly. (5)
(b) Find the 98% confidence interval for the mean weight of a packet of coffee in the supermarket’s stock. (4)
(c) State, with a reason, the action you would recommend the manager to take over the weight of a packet of Roastie’s Coffee. (2)

Roastie’s Coffee company increase the mean weight of their packets to \(\mu\) g and reduce the standard deviation to 3 g. The manager takes a sample of size \(n\) from these new packets. She uses the sample mean \(\overline{X}\) as an estimator of \(\mu\).

(d) Find the minimum value of \(n\) such that \(\mathrm{P}\left(\left|\overline{X} - \mu\right| \lt 1\right) \geqslant 0.98\) (5)

S4 June 2011 Q5

EdexcelOld spec14 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

5. The weights of the contents of breakfast cereal boxes are normally distributed.
A manufacturer changes the style of the boxes but claims that the weight of the contents remains the same.
A random sample of 6 old style boxes had contents with the following weights (in grams).

512     503     514     506     509     515

The weights, \(y\) grams, of the contents of an independent random sample of 5 new style boxes gave

\[\bar{y} = 504.8 \ \text{ and } \ s_y = 3.420\]
(a) Use a two-tail test to show, at the 10% level of significance, that the variances of the weights of the contents of the old and new style boxes can be assumed to be equal.
State your hypotheses clearly. (5)
(b) Showing your working clearly, find a 90% confidence interval for \(\mu_x - \mu_y\), where \(\mu_x\) and \(\mu_y\) are the mean weights of the contents of old and new style boxes respectively. (7)
(c) With reference to your confidence interval comment on the manufacturer’s claim. (2)

S3 June 2011 Q4

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

4. A shop manager wants to find out if customers spend more money when music is playing in the shop. The amount of money spent by a customer in the shop is £\(x\). A random sample of 80 customers, who were shopping without music playing, and an independent random sample of 60 customers, who were shopping with music playing, were surveyed. The results of both samples are summarised in the table below.

\(\sum x\)\(\sum x^2\)Unbiased estimate of meanUnbiased estimate of variance
Customers shopping without music5320392 000\(\bar{x}\)\(s^2\)
Customers shopping with music4140312 00069.0446.44
(a) Find the values of \(\bar{x}\) and \(s^2\). (5)
(b) Test, at the 5% level of significance, whether or not the mean money spent is greater when music is playing in the shop. State your hypotheses clearly. (8)

S4 June 2011 Q3

EdexcelOld spec8 marksIncludes hypothesis testingt-Tests & Further Tests

3. Manuel is planning to buy a new machine to squeeze oranges in his cafe and he has two models, at the same price, on trial. The manufacturers of machine \(B\) claim that their machine produces more juice from an orange than machine \(A\). To test this claim Manuel takes a random sample of 8 oranges, cuts them in half and puts one half in machine \(A\) and the other half in machine \(B\). The amount of juice, in ml, produced by each machine is given in the table below.

Orange12345678
Machine \(A\)6058555352515456
Machine \(B\)6160585255505258

Stating your hypotheses clearly, test, at the 10% level of significance, whether or not the mean amount of juice produced by machine \(B\) is more than the mean amount produced by machine \(A\). (8)

S4 June 2011 Q1

EdexcelOld spec2 markst-Tests & Further Tests

1. Find the value of the constant \(a\) such that

\[\mathrm{P}(a \lt F_{8,10} \lt 3.07) = 0.94\]

(2)

S3 June 2010 Q7

EdexcelOld spec17 marksIncludes hypothesis testingt-Tests & Further Tests

7. A large company surveyed its staff to investigate the awareness of company policy. The company employs 6000 full time staff and 4000 part time staff.

(a) Describe how a stratified sample of 200 staff could be taken. (3)
(b) Explain an advantage of using a stratified sample rather than a simple random sample. (1)

A random sample of 80 full time staff and an independent random sample of 80 part time staff were given a test of policy awareness. The results are summarised in the table below.

Mean score (\(\bar{x}\))Variance of scores (\(s^2\))
Full time staff5221
Part time staff5019
(c) Stating your hypotheses clearly, test, at the 1% level of significance, whether or not the mean policy awareness scores for full time and part time staff are different. (7)
(d) Explain the significance of the Central Limit Theorem to the test in part (c). (2)
(e) State an assumption you have made in carrying out the test in part (c). (1)

After all the staff had completed a training course the 80 full time staff and the 80 part time staff were given another test of policy awareness. The value of the test statistic \(z\) was 2.53

(f) Comment on the awareness of company policy for the full time and part time staff in light of this result. Use a 1% level of significance. (2)
(g) Interpret your answers to part (c) and part (f). (1)

S4 June 2010 Q5

EdexcelOld spec11 marksIncludes hypothesis testingt-Tests & Further Tests

5. A car manufacturer claims that, on a motorway, the mean number of miles per gallon for the Panther car is more than 70. To test this claim a car magazine measures the number of miles per gallon, \(x\), of each of a random sample of 20 Panther cars and obtained the following statistics.

\[\bar{x} = 71.2 \qquad s = 3.4\]

The number of miles per gallon may be assumed to be normally distributed.

(a) Stating your hypotheses clearly and using a 5% level of significance, test the manufacturer’s claim. (5)

The standard deviation of the number of miles per gallon for the Tiger car is 4.

(b) Stating your hypotheses clearly, test, at the 5% level of significance, whether or not there is evidence that the variance of the number of miles per gallon for the Panther car is different from that of the Tiger car. (6)

S4 June 2010 Q2

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

2. As part of an investigation, a random sample of 10 people had their heart rate, in beats per minute, measured whilst standing up and whilst lying down. The results are summarised below.

Person12345678910
Heart rate lying down66705965726662695668
Heart rate standing up75766367807565746375
(a) State one assumption that needs to be made in order to carry out a paired \(t\)-test. (1)
(b) Test, at the 5% level of significance, whether or not there is any evidence that standing up increases people’s mean heart rate by more than 5 beats per minute. State your hypotheses clearly. (8)

S4 June 2010 Q1

EdexcelOld spec13 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

1. A teacher wishes to test whether playing background music enables students to complete a task more quickly. The same task was completed by 15 students, divided at random into two groups. The first group had background music playing during the task and the second group had no background music playing.
The times taken, in minutes, to complete the task are summarised below.

Sample size
\(n\)
Standard deviation
\(s\)
Mean
\(\bar{x}\)
With background music84.115.9
Without background music75.217.9

You may assume that the times taken to complete the task by the students are two independent random samples from normal distributions.

(a) Stating your hypotheses clearly, test, at the 10% level of significance, whether or not the variances of the times taken to complete the task with and without background music are equal. (5)
(b) Find a 99% confidence interval for the difference in the mean times taken to complete the task with and without background music. (7)

Experiments like this are often performed using the same people in each group.

(c) Explain why this would not be appropriate in this case. (1)

S3 June 2010 Q1

EdexcelOld spec7 marksIncludes hypothesis testingt-Tests & Further Tests

1. A report states that employees spend, on average, 80 minutes every working day on personal use of the Internet. A company takes a random sample of 100 employees and finds their mean personal Internet use is 83 minutes with a standard deviation of 15 minutes. The company’s managing director claims that his employees spend more time on average on personal use of the Internet than the report states.

Test, at the 5% level of significance, the managing director’s claim. State your hypotheses clearly. (7)

S3 June 2009 Q6

EdexcelOld spec10 marksIncludes hypothesis testingt-Tests & Further Tests

6. The lengths of a random sample of 120 limpets taken from the upper shore of a beach had a mean of 4.97 cm and a standard deviation of 0.42 cm. The lengths of a second random sample of 150 limpets taken from the lower shore of the same beach had a mean of 5.05 cm and a standard deviation of 0.67 cm.

(a) Test, using a 5% level of significance, whether or not the mean length of limpets from the upper shore is less than the mean length of limpets from the lower shore. State your hypotheses clearly. (8)
(b) State two assumptions you made in carrying out the test in part (a). (2)

S4 June 2009 Q4

EdexcelOld spec14 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

4. A farmer set up a trial to assess whether adding water to dry feed increases the milk yield of his cows. He randomly selected 22 cows. Thirteen of the cows were given dry feed and the other 9 cows were given the feed with water added. The milk yields, in litres per day, were recorded with the following results.

Sample sizeMean\(s^2\)
Dry feed1325.542.45
Feed with water added927.941.02

You may assume that the milk yield from cows given the dry feed and the milk yield from cows given the feed with water added are from independent normal distributions.

(a) Test, at the 10% level of significance, whether or not the variances of the populations from which the samples are drawn are the same. State your hypotheses clearly. (5)
(b) Calculate a 95% confidence interval for the difference between the two mean milk yields. (7)
(c) Explain the importance of the test in part (a) to the calculation in part (b). (2)

S4 June 2009 Q2

EdexcelOld spec12 marksIncludes hypothesis testingt-Tests & Further Tests

2. An emission-control device is tested to see if it reduces CO2 emissions from cars. The emissions from 6 randomly selected cars are measured with and without the device. The results are as follows.

Car\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)
Emissions without device151.4164.3168.5148.2139.4151.2
Emissions with device148.9162.7166.9150.1140.0146.7
(a) State an assumption that needs to be made in order to carry out a \(t\)-test in this case. (1)
(b) State why a paired \(t\)-test is suitable for use with these data. (1)
(c) Using a 5% level of significance, test whether or not there is evidence that the device reduces CO2 emissions from cars. (8)
(d) Explain, in context, what a type II error would be in this case. (2)

S4 June 2009 Q1

EdexcelOld spec8 marksIncludes hypothesis testingt-Tests & Further Tests

1. A company manufactures bolts with a mean diameter of 5 mm. The company wishes to check that the diameter of the bolts has not decreased. A random sample of 10 bolts is taken and the diameters, \(x\) mm, of the bolts are measured. The results are summarised below.

\[\sum x = 49.1 \qquad \sum x^2 = 241.2\]

Using a 1% level of significance, test whether or not the mean diameter of the bolts is less than 5 mm.

(You may assume that the diameter of the bolts follows a normal distribution.) (8)

S4 June 2008 Q7

EdexcelOld spec8 marksIncludes hypothesis testingt-Tests & Further Tests

7. An engineering firm buys steel rods. The steel rods from its present supplier are known to have a mean tensile strength of 230 N/mm2.

A new supplier of steel rods offers to supply rods at a cheaper price than the present supplier. A random sample of ten rods from this new supplier gave tensile strengths, \(x\) N/mm2, which are summarised below.

Sample size\(\Sigma x\)\(\Sigma x^2\)
102283524 079
(a) Stating your hypotheses clearly, and using a 5% level of significance, test whether or not the rods from the new supplier have a tensile strength lower than the present supplier. (You may assume that the tensile strength is normally distributed). (7)
(b) In the light of your conclusion to part (a) write down what you would recommend the engineering firm to do. (1)

S3 June 2008 Q7

EdexcelOld spec8 marksIncludes hypothesis testingt-Tests & Further Tests

7. A sociologist is studying how much junk food teenagers eat. A random sample of 100 female teenagers and an independent random sample of 200 male teenagers were asked to estimate what their weekly expenditure on junk food was. The results are summarised below.

\(n\)means.d.
Female teenagers100£5.48£3.62
Male teenagers200£6.86£4.51
(a) Using a 5% significance level, test whether or not there is a difference in the mean amounts spent on junk food by male teenagers and female teenagers. State your hypotheses clearly. (7)
(b) Explain briefly the importance of the central limit theorem in this problem. (1)

S4 June 2008 Q3

EdexcelOld spec8 marksIncludes hypothesis testingt-Tests & Further Tests

3. The weights, in grams, of mice are normally distributed. A biologist takes a random sample of 10 mice. She weighs each mouse and records its weight.

The ten mice are then fed on a special diet. They are weighed again after two weeks.

Their weights in grams are as follows:

MouseABCDEFGHIJ
Weight before diet50.048.347.554.038.942.750.146.840.341.2
Weight after diet52.147.650.152.342.244.351.848.041.943.6

Stating your hypotheses clearly, and using a 1% level of significance, test whether or not the diet causes an increase in the mean weight of the mice. (8)

S4 June 2008 Q2

EdexcelOld spec17 marksIncludes hypothesis testingt-Tests & Further Tests

2. A large number of students are split into two groups \(A\) and \(B\). The students sit the same test but under different conditions. Group \(A\) has music playing in the room during the test, and group \(B\) has no music playing during the test. Small samples are then taken from each group and their marks recorded. The marks are normally distributed.

The marks are as follows:

Sample from Group \(A\)424035373443424449
Sample from Group \(B\)40443847383733
(a) Stating your hypotheses clearly, and using a 10% level of significance, test whether or not there is evidence of a difference between the variances of the marks of the two groups. (8)
(b) State clearly an assumption you have made to enable you to carry out the test in part (a). (1)
(c) Use a two tailed test, with a 5% level of significance, to determine if the playing of music during the test has made any difference in the mean marks of the two groups. State your hypotheses clearly. (7)
(d) Write down what you can conclude about the effect of music on a student’s performance during the test. (1)

S3 June 2007 Q5

EdexcelOld spec14 marksIncludes hypothesis testingt-Tests & Further Tests

5. In a trial of diet \(A\) a random sample of 80 participants were asked to record their weight loss, \(x\) kg, after their first week of using the diet. The results are summarised by

\[\sum x = 361.6 \quad \text{and} \quad \sum x^2 = 1753.95\]
(a) Find unbiased estimates for the mean and variance of weight lost after the first week of using diet \(A\). (5)

The designers of diet \(A\) believe it can achieve a greater mean weight loss after the first week than a standard diet \(B\). A random sample of 60 people used diet \(B\). After the first week they had achieved a mean weight loss of 4.06 kg, with an unbiased estimate of variance of weight loss of 2.50 kg2.

(b) Test, at the 5% level of significance, whether or not the mean weight loss after the first week using diet \(A\) is greater than that using diet \(B\). State your hypotheses clearly. (7)
(c) Explain the significance of the central limit theorem to the test in part (b). (1)
(d) State an assumption you have made in carrying out the test in part (b). (1)

S4 June 2007 Q4

EdexcelOld spec12 marksIncludes hypothesis testingt-Tests & Further Tests

4. The length \(X\) mm of a spring made by a machine is normally distributed \(\mathrm{N}(\mu, \sigma^2)\). A random sample of 20 springs is selected and their lengths measured in mm. Using this sample the unbiased estimates of \(\mu\) and \(\sigma^2\) are

\[\bar{x} = 100.6, \qquad s^2 = 1.5.\]

Stating your hypotheses clearly test, at the 10% level of significance,

(a) whether or not the variance of the lengths of springs is different from 0.9, (6)
(b) whether or not the mean length of the springs is greater than 100 mm. (6)

S4 June 2007 Q3

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

3. The lengths, \(x\) mm, of the forewings of a random sample of male and female adult butterflies are measured. The following statistics are obtained from the data.

No. of butterfliesSample mean \(\bar{x}\)\(\sum x^2\)
Females750.617 956.5
Males1053.228 335.1
(a) Assuming the lengths of the forewings are normally distributed test, at the 10% level of significance, whether or not the variances of the two distributions are the same. State your hypotheses clearly. (7)
(b) Stating your hypotheses clearly test, at the 5% level of significance, whether the mean length of the forewings of the female butterflies is less than the mean length of the forewings of the male butterflies. (6)

S3 June 2007 Q3

EdexcelOld spec7 marksIncludes hypothesis testingt-Tests & Further Tests

3. The time, in minutes, it takes Robert to complete the puzzle in his morning newspaper each day is normally distributed with mean 18 and standard deviation 3. After taking a holiday, Robert records the times taken to complete a random sample of 15 puzzles and he finds that the mean time is 16.5 minutes. You may assume that the holiday has not changed the standard deviation of times taken to complete the puzzle.

Stating your hypotheses clearly test, at the 5% level of significance, whether or not there has been a reduction in the mean time Robert takes to complete the puzzle. (7)

S4 June 2007 Q1

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

1. A medical student is investigating two methods of taking a person’s blood pressure. He takes a random sample of 10 people and measures their blood pressure using an arm cuff and a finger monitor. The table below shows the blood pressure for each person, measured by each method.

PersonABCDEFGHIJ
Arm cuff140110138127142112122128132160
Finger monitor154112156152142104126132144180
(a) Use a paired \(t\)-test to determine, at the 10% level of significance, whether or not there is a difference in the mean blood pressure measured using the two methods. State your hypotheses clearly. (8)
(b) State an assumption about the underlying distribution of measured blood pressure required for this test. (1)

S4 June 2006 Q4

EdexcelOld spec13 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

4. Two machines \(A\) and \(B\) produce the same type of component in a factory. The factory manager wishes to know whether the lengths, \(x\) cm, of the components produced by the two machines have the same mean. The manager took a random sample of components from each machine and the results are summarised in the table below.

Sample sizeMean \(\bar{x}\)Standard
deviation \(s\)
Machine \(A\)94.830.721
Machine \(B\)104.850.572

The lengths of components produced by the machines can be assumed to follow normal distributions.

(a) Use a two tail test to show, at the 10% significance level, that the variances of the lengths of components produced by each machine can be assumed to be equal. (4)
(b) Showing your working clearly, find a 95% confidence interval for \(\mu_B - \mu_A\), where \(\mu_A\) and \(\mu_B\) are the mean lengths of the populations of components produced by machine \(A\) and machine \(B\) respectively. (7)

There are serious consequences for the production at the factory if the difference in mean lengths of the components produced by the two machines is more than 0.7 cm.

(c) State, giving your reason, whether or not the factory manager should be concerned. (2)

S4 June 2006 Q3

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

3. As part of an investigation into the effectiveness of solar heating, a pair of houses was identified where the mean weekly fuel consumption was the same. One of the houses was then fitted with solar heating and the other was not. Following the fitting of the solar heating, a random sample of 9 weeks was taken and the table below shows the weekly fuel consumption for each house.

Week123456789
Without solar heating191918146753143
With solar heating1322111614102038

Units of fuel used per week

(a) Stating your hypotheses clearly, test, at the 5% level of significance, whether or not there is evidence that the solar heating reduces the mean weekly fuel consumption. (8)
(b) State an assumption about weekly fuel consumption that is required to carry out this test. (1)

S3 June 2006 Q3

EdexcelOld spec9 marksIncludes hypothesis testingt-Tests & Further Tests

3. A biologist investigated whether or not the diet of chickens influenced the amount of cholesterol in their eggs. The cholesterol content of 70 eggs selected at random from chickens fed diet \(A\) had a mean value of 198 mg and a standard deviation of 47 mg. A random sample of 90 eggs from chickens fed diet \(B\) had a mean cholesterol content of 201 mg and a standard deviation of 23 mg.

(a) Stating your hypotheses clearly and using a 5% level of significance, test whether or not there is a difference between the mean cholesterol content of eggs laid by chickens fed on these two diets. (7)
(b) State, in the context of this question, an assumption you have made in carrying out the test in part (a). (2)

S4 June 2006 Q2

EdexcelOld spec12 marksIncludes hypothesis testingConfidence Intervalst-Tests & Further Tests

2. The weights, in grams, of apples are assumed to follow a normal distribution.

The weights of apples sold by a supermarket have variance \(\sigma_s^2\). A random sample of 4 apples from the supermarket had weights

114,  110,  119,  123.

(a) Find a 95% confidence interval for \(\sigma_s^2\). (7)

The weights of apples sold on a market stall have variance \(\sigma_M^2\). A second random sample of 7 apples was taken from the market stall. The sample variance \(s_M^2\) of the apples was 318.8.

(b) Stating your hypotheses clearly test, at the 1% level of significance, whether or not there is evidence that \(\sigma_M^2 \gt \sigma_s^2\). (5)

S4 June 2006 Q1

EdexcelOld spec7 marksIncludes hypothesis testingt-Tests & Further Tests

1. Historical records from a large colony of squirrels show that the weight of squirrels is normally distributed with a mean of 1012 g. Following a change in the diet of squirrels, a biologist is interested in whether or not the mean weight has changed.

A random sample of 14 squirrels is weighed and their weights \(x\), in grams, recorded. The results are summarised as follows:

\[\Sigma x = 13\,700, \qquad \Sigma x^2 = 13\,448\,750.\]

Stating your hypotheses clearly test, at the 5% level of significance, whether or not there has been a change in the mean weight of the squirrels. (7)

S4 January 2006 Q7

EdexcelOld spec16 marksIncludes hypothesis testingt-Tests & Further Tests

7. A psychologist gives a test to students from two different schools, \(A\) and \(B\).
A group of 9 students is randomly selected from school \(A\) and given instructions on how to do the test.
A group of 7 students is randomly selected from school \(B\) and given the test without the instructions.

The table shows the time taken, to the nearest second, to complete the test by the two groups.

\(A\)111212131415161717
\(B\)8101113131414

Stating your hypotheses clearly,

(a) test at the 10% significance level, whether or not the variance of the times taken to complete the test by students from school \(A\) is the same as the variance of the times taken to complete the test by students from school \(B\). (You may assume that times taken for each school are normally distributed.) (7)
(b) test at the 5% significance level, whether or not the mean time taken to complete the test by students from school \(A\) is greater than the mean time taken to complete the test by students from school \(B\). (7)
(c) Why does the result to part (a) enable you to carry out the test in part (b)? (1)
(d) Give one factor that has not been taken into account in your analysis. (1)

S4 January 2006 Q5

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

5. Seven pipes of equal length are selected at random. Each pipe is cut in half. One piece of each pipe is coated with protective paint and the other is left uncoated. All of the pieces of pipe are buried to the same depth in various soils for 6 months.

The table gives the percentage area of the pieces of pipe in the various soils that are subject to corrosion.

SoilABCDEFG
% Corrosion
coated pipe
39404332423336
% Corrosion
uncoated pipe
41366148424845
(a) Stating your hypotheses clearly and using a 5% significance level, carry out a paired \(t\)-test to assess whether or not there is a difference between the mean percentage of corrosion on the coated pipes and the mean percentage of corrosion on the uncoated pipes. (9)
(b)
(i) State an assumption that has been made in order to carry out this test. (1)
(ii) Comment on the validity of this assumption. (1)
(c) State what difference would be made to the conclusion in part (a) if the test had been to determine whether or not the percentage of corrosion on the uncoated pipes was higher than the mean percentage of corrosion on the coated pipes. Justify your answer. (2)

S3 January 2006 Q5

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

5. Upon entering a school, a random sample of eight girls and an independent random sample of eighty boys were given the same examination in mathematics. The girls and boys were then taught in separate classes. After one year, they were all given another common examination in mathematics.

The means and standard deviations of the boys’ and the girls’ marks are shown in the table.

Examination marks
Upon entryAfter 1 year
MeanStandard deviationMeanStandard deviation
Boys5012596
Girls5312626

You may assume that the test results are normally distributed.

(a) Test, at the 5% level of significance, whether or not the difference between the means of the boys’ and girls’ results was significant when they entered school. (7)
(b) Test, at the 5% level of significance, whether or not the mean mark of the boys is significantly less than the mean mark of the girls in the ‘After 1 year’ examination. (5)
(c) Interpret the results found in part (a) and part (b). (1)

S4 June 2005 Q4

EdexcelOld spec13 marksIncludes hypothesis testingt-Tests & Further Tests

4. A farmer set up a trial to assess the effect of two different diets on the increase in the weight of his lambs. He randomly selected 20 lambs. Ten of the lambs were given diet \(A\) and the other 10 lambs were given diet \(B\). The gain in weight, in kg, of each lamb over the period of the trial was recorded.

(a) State why a paired \(t\)-test is not suitable for use with these data. (1)
(b) Suggest an alternative method for selecting the sample which would make the use of a paired \(t\)-test valid. (1)
(c) Suggest two other factors that the farmer might consider when selecting the sample. (2)

The following paired data were collected.

Diet \(A\)5674.66.15.76.27.453
Diet \(B\)77.286.45.17.98.26.26.15.8
(d) Using a paired \(t\)-test, at the 5% significance level, test whether or not there is evidence of a difference in the weight gained by the lambs using diet \(A\) compared with those using diet \(B\). (8)
(e) State, giving a reason, which diet you would recommend the farmer to use for his lambs. (1)

S4 June 2005 Q3

EdexcelOld spec8 marksIncludes hypothesis testingt-Tests & Further Tests

3. A machine is set to fill bags with flour such that the mean weight is 1010 grams.

To check that the machine is working properly, a random sample of 8 bags is selected. The weight of flour, in grams, in each bag is as follows.

1010     1015     1005     1000     998     1008     1012     1007

Carry out a suitable test, at the 5% significance level, to test whether or not the mean weight of flour in the bags is less than 1010 grams. (You may assume that the weight of flour delivered by the machine is normally distributed.) (8)

S4 June 2005 Q2

EdexcelOld spec6 marksIncludes hypothesis testingt-Tests & Further Tests

2. The standard deviation of the length of a random sample of 8 fence posts produced by a timber yard was 8 mm. A second timber yard produced a random sample of 13 fence posts with a standard deviation of 14 mm.

(a) Test, at the 10% significance level, whether or not there is evidence that the lengths of fence posts produced by these timber yards differ in variability. State your hypotheses clearly. (5)
(b) State an assumption you have made in order to carry out the test in part (a). (1)

S4 June 2005 Q1

1. The random variable \(X\) has a \(\chi^2\)-distribution with 9 degrees of freedom.

(a) Find \(\mathrm{P}(2.088 \lt X \lt 19.023)\). (3)

The random variable \(Y\) follows an F-distribution with 12 and 5 degrees of freedom.

(b) Find the upper and lower 5% critical values for \(Y\). (3)