A2 June 2025 Q3
3. A journalist uses a gender equality test on some randomly chosen films.
She believes that whether or not a film passes the test is associated with the period in which the film is first released. Her data is summarised in Table 1.
The journalist decides to test whether the data supports her belief.
Table 1: Observed frequencies
| Period → Test result ↓ | 1990–1999 | 2000–2004 | 2005–2013 | Total |
|---|---|---|---|---|
| Pass | 45 | 70 | 65 | 180 |
| Fail | 75 | 90 | 55 | 220 |
| Total | 120 | 160 | 120 | 400 |
Some of the expected frequencies she calculates are shown in Table 2 below.
Table 2: Expected frequencies
| Period → Test result ↓ | 1990–1999 | 2000–2004 | 2005–2013 |
|---|---|---|---|
| Pass | 54 | ||
| Fail | 66 |
You should state your critical value and conclusion clearly. (6)
The journalist wants to publish her data and findings.
She decides to publish the data as percentages of pass and fail for each period, as shown in Table 3, rather than as frequencies.
Table 3: Percentages
| Period → Test result ↓ | 1990–1999 | 2000–2004 | 2005–2013 |
|---|---|---|---|
| Pass (%) | 37.5 | 43.75 | 54.17 |
| Fail (%) | 62.5 | 56.25 | 45.83 |
| Total (%) | 100 | 100 | 100 |
The editor suggests carrying out the hypothesis test of the journalist’s belief using the percentages in Table 3.
| Scheme | Marks | AO |
|---|---|---|
| \(\left[E_1 = \dfrac{180 \times 120}{400} \quad E_2 = \dfrac{180 \times 160}{400} \quad E_3 = \dfrac{220 \times 120}{400} \quad E_4 = \dfrac{220 \times 160}{400}\right]\) | ||
| Two of: \(E_1 = 54 \quad E_2 = 72 \quad E_3 = 66 \quad E_4 = 88\) | B1 | 2.2a |
| All four of: \(E_1 = 54 \quad E_2 = 72 \quad E_3 = 66 \quad E_4 = 88\) | B1 | 1.1b |
| (2) |
Notes
B1: Two of \(E_1, E_2, E_3, E_4\) correct
B1: All four of \(E_1, E_2, E_3, E_4\) correct
| Scheme | Marks | AO |
|---|---|---|
| \(\mathrm{H}_0\): Whether a film passes the (Gender Equality) Test is not associated with the period in which the film is first released \(\mathrm{H}_1\): Whether a film passes the (Gender Equality) Test or not is associated with the period in which the film is first released | B1 | 2.5 |
| (1) |
Notes
B1: Correct hypotheses mentioning test, and period/date
and association/independence mentioned in at least one hypothesis
Use of correlation/correlated is B0
NB: Relationship/related is condoned if association/independence mentioned at all
| Scheme | Marks | AO |
|---|---|---|
| Correct method for finding at least two terms of \(\chi^2\): \(\begin{array}{|c|c|c|c|}\hline \dfrac{(O_i - E_i)^2}{E_i} & 1.5 & 0.06 & 2.24 \\ & 1.23 & 0.05 & 1.83 \\ \hline\end{array}\) \(\begin{array}{|c|c|c|c|}\hline \dfrac{O_i^2}{E_i} & 37.5 & 68.06 & 78.24 \\ & 85.23 & 92.05 & 45.83 \\ \hline\end{array}\) | M1 | 1.1b |
| \(\chi^2 =\) awrt 6.9 | A1 | 1.1b |
| \(\nu = (3 - 1)(2 - 1) = \mathbf{2}\) | B1 | 1.1b |
| \(\chi^2_2(5\%) = 5.991\) | B1ft | 1.1b |
| ‘6.9’ \(\gt\) ‘5.991’ Sufficient evidence to reject \(\mathrm{H}_0\) | M1 | 3.4 |
| Sufficient evidence to support journalist’s belief or Sufficient evidence that whether a film passes the gender equality test is associated with the period in which the film is first released | A1ft | 2.2b |
| (6) |
Notes
M1: Correct method (terms may be unsimplified in an expression, and hence may need to be checked) shown for finding two \(\chi^2\) terms, accept either method
May be implied by a test statistic of awrt 6.9
A1: awrt 6.9
B1: 2 degrees of freedom (can be implied by cv of 5.991)
B1ft: Correct critical value (ft their df)
Must be consistent with their df.
M1: For a correct non-contextual conclusion based on their CV and their test statistic
May be implied by a correct contextual conclusion if no contradictions
A1ft: For a correct contextual conclusion referring to the journalist’s belief or mentioning (gender equality) test and period/date (ft their cv)
Dependent on 1st A1
Do not allow contradictory statements
B0 for correlation/correlated
Condone ‘related/relationship’ in part (c)
NB: We ignore their hypotheses when marking (c)
| Scheme | Marks | AO |
|---|---|---|
| (i) The observed frequencies for each period are more than 100 or All the \(O_i\) and \(E_i\) are lower as percentages or The difference between all the Oi and Ei is lower | M1 | 3.5a |
| Therefore, the test statistic would decrease (5.7…) | A1 | 2.2a |
| (ii) The journalist should not follow her editor’s suggestion (with an appropriate reason). e.g.
| B1 | 2.4 |
| (3) | ||
| (12 marks) |
Notes
(i) M1: Mentioning that observed totals for each period are more than 100
or
Mentioning that all the \(O_i\) and \(E_i\) have reduced
Or
Mentioning that all the differences between the \(O_i\) and \(E_i\) have reduced
(must state or imply that this is true for all)
or
Calculating the new test statistic correctly (awrt 5.7)
A1: The test statistic would decrease (dependent on the previous M1)
(ii) B1: See scheme.
B0 for vague reasoning such as ‘should not use percentages as it would be inaccurate’
NB: Reasoning for (d)(ii) may be seen in (d)(i)
Do not award final B1 if contradictions between their reasoning in (i) and (ii)