Skip to content

Course home

2.5 Statistical Hypothesis Testing

2.5 Statistical Hypothesis Testing

EasyMediumHard
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273
Question 17

Sarah owns an ice cream parlour. Over the course of 12 days in the summer, she records the number of hours of sunshine, hhh, and the volume of ice cream sold, V V\,V litres. The product moment correlation coefficient for these data is calculated as 0.72.

a.

Stating your hypotheses clearly and using a 5% significance level, test whether there is a positive correlation between hours of sunshine and ice cream sales.

[3]
b.

Sarah suggests that a linear regression model could be used to model the data.

State, giving a reason, whether or not the correlation coefficient is consistent with Sarah's suggestion.

[1]
c.

State, giving a reason, which variable would be the explanatory variable.

[1]
d.

Sarah calculated the linear regression equation as V=15.5+4.2hV = 15.5 + 4.2hV=15.5+4.2h

Give an interpretation of the gradient of this regression equation.

[1]
Markscheme

2.5 Statistical Hypothesis Testing Questions

  1. A Level
  2. /Maths
  3. /2.5 Statistical Hypothesis Testing

355 exam-style questions on OCR (MEI) A Level Maths 2.5 Statistical Hypothesis Testing, covering 2.5.1 Process and language of hypothesis testing, 2.5.2 When to apply 1-tail and 2-tail tests, 2.5.3 Significance level and incorrect rejection, 2.5.4 Null and alternative hypotheses (binomial), 2.5.5 Conduct a binomial hypothesis test, 2.5.6 Critical and acceptance regions (binomial), 2.5.7 Distribution of the sample mean (A-level only), 2.5.8 Hypothesis test for a single mean (A-level only), 2.5.9 Critical and acceptance regions (mean) (A-level only), 2.5.10 Correlation as closeness to a straight line (A-level only), 2.5.11 Inference using a correlation coefficient (A-level only), and 2.5 Statistical Hypothesis Testing. Each one has a worked solution and a mark scheme showing where the marks go.

Question bank