A-level · Hypothesis testing
Hypothesis testing for zero correlationExam-style questions
Testing whether a population has any linear correlation by comparing the sample PMCC r against a critical value from tables — choosing one- or two-tailed hypotheses on ρ, and concluding in context.
26 questions · A-level level · mark scheme and worked solution on each · no sign-up to try
- 1A sample of gives . Test at the level whether there is negative correlation in the population. The critical value is .Level 4 · 3 marksTry it
- 2For pairs of data the PMCC is found to be . Test at the level whether there is correlation in the population. For this two-tailed test with the critical value is .Level 4 · 3 marksTry it
- 3A sample of gives . Test at the level whether there is positive correlation. The critical value is .Level 4 · 3 marksTry it
- 4A sample of pairs gives .
Test, at the significance level, whether there is evidence of ANY correlation (positive or negative). The two-tail critical value for is . (4 marks)Level 4 · 4 marksTry it - 5A researcher records the number of hours of revision, , and the test score, , for a random sample of students. The product moment correlation coefficient for the sample is .
(a) State what is measured by the product moment correlation coefficient. (1 mark)
(b) Test, at the level of significance, whether there is positive correlation between hours of revision and test score.
The critical value of for a one-tailed test at the level with is . (5 marks)
(c) A second researcher analyses the same data but measures the revision time in minutes rather than hours. State, with a reason, the effect this has on the value of . (2 marks)
(d) Explain why this result does not show that revision causes higher test scores. (2 marks)
The equation of the regression line of on for this sample is .
(e) Use the regression line to estimate the test score of a student who revises for hours, and state one assumption needed for this estimate to be reliable. (2 marks)Level 4 · 12 marksTry it
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