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

DifficultyAllLevel 3Level 4Level 5
  1. 1
    A sample of n=10n = 10 gives r=−0.55r = -0.55. Test at the 5%5\% level whether there is negative correlation in the population. The critical value is 0.54940.5494.
    Level 4 · 3 marksTry it
  2. 2
    For 88 pairs of data the PMCC is found to be r=0.956r = 0.956. Test at the 5%5\% level whether there is correlation in the population. For this two-tailed test with n=8n = 8 the critical value is 0.70670.7067.
    Level 4 · 3 marksTry it
  3. 3
    A sample of n=20n = 20 gives r=0.45r = 0.45. Test at the 5%5\% level whether there is positive correlation. The critical value is 0.37830.3783.
    Level 4 · 3 marksTry it
  4. 4
    A sample of n=12n = 12 pairs gives r=−0.61r = -0.61.

    Test, at the 5%5\% significance level, whether there is evidence of ANY correlation (positive or negative). The two-tail critical value for n=12n = 12 is 0.57600.5760. (4 marks)
    Level 4 · 4 marksTry it
  5. 5
    A researcher records the number of hours of revision, xx, and the test score, yy, for a random sample of 2020 students. The product moment correlation coefficient for the sample is r=0.561r = 0.561.
    (a) State what is measured by the product moment correlation coefficient. (1 mark)
    (b) Test, at the 1%1\% level of significance, whether there is positive correlation between hours of revision and test score.

    The critical value of rr for a one-tailed test at the 1%1\% level with n=20n = 20 is 0.53680.5368. (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 rr. (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 yy on xx for this sample is y=31.2+2.4xy = 31.2 + 2.4x.
    (e) Use the regression line to estimate the test score of a student who revises for 88 hours, and state one assumption needed for this estimate to be reliable. (2 marks)
    Level 4 · 12 marksTry it

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