A researcher believes that, in adults, there is a negative correlation between the number of hours spent sitting each day and their measured fitness score.

The researcher collects data from a random sample of 45 adults. The correlation coefficient between hours spent sitting and fitness score for this sample is -0.38.

For $n = 45$ , the critical value for a one-tailed test at the 2.5% significance level for the population correlation coefficient is 0.2940.

Carry out a hypothesis test at the 2.5% significance level to determine whether this sample provides evidence to support the researcher's belief.

A researcher believes that, in adults, there is a negative correlation between the number of hours spent sitting each day and their measured fitness score.

The researcher collects data from a random sample of 45 adults. The correlation coefficient between hours spent sitting and fitness score for this sample is -0.38.

For $n = 45$ , the critical value for a one-tailed test at the 2.5% significance level for the population correlation coefficient is 0.2940.

Carry out a hypothesis test at the 2.5% significance level to determine whether this sample provides evidence to support the researcher's belief.

2.5 O: Statistical hypothesis testing

Question 13

Markscheme

2.5 O: Statistical hypothesis testing

Question 13

Markscheme

2.5 O: Statistical hypothesis testing

Question 13

2.5 O: Statistical hypothesis testing Questions

2.5 O: Statistical hypothesis testing

Question 13

2.5 O: Statistical hypothesis testing Questions