Pearsons R test

Question 1

When is Pearson’s R test used?

Answer 1

When a relationship is predicted between two sets of data, the data is normal distributed, the data is interval/ratio data and the pairs of scores from repeated measures or matched pairs design

Question 2

How do you calculate the degrees of freedom Pearsons R?

Answer 2

N (in sample) - 2

Question 3

What do you do once you have a Pearsons R value?

Answer 3

Look at the critical values table to see if the results are significant at the p=0.05 at whether your hyp is one tailed or two tailed at the calculated degree of freedom

Question 4

What does the calculated value of R need to be in order for the results to be significant in Pearsons R ?

Answer 4

Equal to or greater than the critical value

Question 5

What conclusions can you draw if the calculated value at R at the degree of freedom is smaller than the critical value in Pearsons R?

Answer 5

There is no statical significant difference
Accept the null hypothesis
Reject the alternative hypothesis

Question 6

What conclusions can you draw if the calculated value at R at the degree of freedom is greater than the critical value in Pearsons R?

Answer 6

There is a statistically significant difference
Reject the null hypothesis
Accept the alternative hypothesis