S3 June 2009 Q3

EdexcelOld spec11 marksIncludes hypothesis testingCorrelation

3. A doctor is interested in the relationship between a person’s Body Mass Index (BMI) and their level of fitness. She believes that a lower BMI leads to a greater level of fitness. She randomly selects 10 female 18 year-olds and calculates each individual’s BMI. The females then run a race and the doctor records their finishing positions. The results are shown in the table.

Individual\(A\)\(B\)\(C\)\(D\)\(E\)\(F\)\(G\)\(H\)\(I\)\(J\)
BMI17.421.418.924.419.420.122.618.425.828.1
Finishing position35196410278
(a) Calculate Spearman’s rank correlation coefficient for these data. (5)
(b) Stating your hypotheses clearly and using a one tailed test with a 5% level of significance, interpret your rank correlation coefficient. (5)
(c) Give a reason to support the use of the rank correlation coefficient rather than the product moment correlation coefficient with these data. (1)