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Hypothesis tests for correlationAQA A-Level Maths: Subtopic test

10 questions, 27 marks

AQA A-Level Maths

Hypothesis tests for correlation

Total 27 marks

Name

Class

Date

  1. 1
    A teacher records the number of hours hh that each of 1212 students spent revising and the student's test score ss. The product moment correlation coefficient for the sample is r=0.62r=0.62. The teacher tests, at the 5%5\% significance level, whether there is positive correlation between hours revising and test score in the population. For a sample of size 1212, the one-tailed 5%5\% critical value of the product moment correlation coefficient is 0.49730.4973.
    (a)
    Which pair of hypotheses is correct for the teacher's test?
    [1 mark]
    • AH0:ρ=0H_0:\rho=0, H1:ρ>0H_1:\rho>0
    • BH0:r=0H_0:r=0, H1:r>0H_1:r>0
    • CH0:ρ>0H_0:\rho>0, H1:ρ=0H_1:\rho=0
    • DH0:ρ=0H_0:\rho=0, H1:ρ≠0H_1:\rho\ne0
    (b)
    Which conclusion is correct?
    [1 mark]
    • ADo not reject H0H_0: there is no correlation between hours revising and test score
    • BReject H0H_0: more hours of revising cause higher test scores
    • CReject H0H_0: there is sufficient evidence of positive correlation between hours revising and test score
    • DDo not reject H0H_0, because 0.620.62 is greater than 0.49730.4973
    (c)
    A student says, 'The test shows that revising for more hours causes higher scores.' Explain why this conclusion is not justified.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    A researcher takes a random sample of 1010 adults and finds that the product moment correlation coefficient between hours of screen time per day and hours of sleep is r=−0.47r=-0.47. She tests, at the 5%5\% significance level, whether there is negative correlation in the population. For a sample of size 1010, the one-tailed 5%5\% critical value is 0.54940.5494.
    (a)
    The critical region for the sample correlation coefficient rr is
    [1 mark]
    • Ar≥0.5494r\ge0.5494
    • Br≤−0.5494r\le-0.5494
    • Cr≤−0.6319r\le-0.6319
    • D−0.5494≤r≤0.5494-0.5494\le r\le0.5494
    (b)
    Which conclusion is correct for r=−0.47r=-0.47?
    [1 mark]
    • AReject H0H_0: there is strong evidence of negative correlation
    • BThere is no correlation between screen time and sleep
    • C∣r∣<0.5494\lvert r\rvert<0.5494, so the population correlation is zero
    • DDo not reject H0H_0: there is insufficient evidence at the 5%5\% level of negative correlation between screen time and sleep
    (c)
    Software gives a pp-value of 0.0850.085 for this test. Use the pp-value to state the conclusion of the test at the 10%10\% significance level.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    A random sample of 2020 students has product moment correlation coefficient r=0.41r=0.41 between hours of sleep and score in a memory test. For a sample of size 2020, the critical values are: one-tailed 5%5\%, 0.37830.3783; two-tailed 5%5\%, 0.44380.4438.
    (a)
    Test, at the 5%5\% significance level, whether there is correlation (positive or negative) between hours of sleep and memory test score.
    [3 marks]
    (b)
    Another analyst tests H0:ρ=0H_0:\rho=0 against H1:ρ>0H_1:\rho>0 at the 5%5\% level, using the same data, and concludes that there is evidence of positive correlation. Explain why the two conclusions are not inconsistent, and say when a one-tailed test is justified.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    A geographer collects data on the distance dd km of each of 1515 villages from a large city and the number of residents pp in each village. All the distances are between 33 km and 3030 km. The product moment correlation coefficient is r=−0.52r=-0.52. For a sample of size 1515, the two-tailed critical values are: 5%5\% significance level, 0.51400.5140; 1%1\% significance level, 0.64110.6411.
    (a)
    (i) Write down suitable hypotheses for a test of whether there is correlation between distance from the city and population.
    (ii) Carry out the test at the
    5%5\% significance level.
    (iii) Carry out the test at the
    1%1\% significance level, and comment on the strength of the evidence.
    [6 marks]
    (b)
    The geographer concludes: 'The correlation shows that living further from the city makes villages smaller, so I can use the data to predict the population of a village 6060 km from the city.' Evaluate her conclusion.
    [6 marks]

    Total for question 4: 12 marks

End of questions

Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).