Skip to content

Course home

2.5 Statistical Hypothesis Testing

2.5 Statistical Hypothesis Testing

EasyMediumHard
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177
Question 2

A football coach measured the heights and weights of 12 players, The data is shown below.

Height (cm)188194178175185175188193180190181169
Weight (kg)7010083697758908671946861
a.

Draw a scatter graph for this information.

[2]
b.

Give an interpretation of the correlation between the height and weight of the footballers.

[1]
c.

The equation of the regression line is w=1.37h−173w = 1.37h - 173w=1.37h−173

Give an interpretation of the gradient of this regression line.

[1]
d.

The product moment correlation coefficient is calculated to be 0.81.

Stating your hypotheses clearly test, at the 5% significance level, whether there is a positive correlation between height and weight

[4]
e.

Determine whether you would reach the same conclusion at the 1% significance level.

[2]
Markscheme

2.5 Statistical Hypothesis Testing Questions

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

316 exam-style questions on OCR A Level Maths 2.5 Statistical Hypothesis Testing, covering 2.5.1 The language of hypothesis testing, 2.5.2 Hypothesis test for a binomial proportion, 2.5.3 Inference and significance level, 2.5.4 Sample mean as a random variable (A-level only), 2.5.5 Hypothesis test for the mean of a normal distribution (A-level only), 2.5.6 Pearson's product-moment correlation coefficient, and 2.5.7 Hypothesis test using Pearson's coefficient (A-level only). Each one has a worked solution and a mark scheme showing where the marks go.

Question bank