Aresearcher investigating whether joggers are less likely to get colds than people who do not jog found a p-value of.03. this means that a. there is a 3% chance that joggers do not get fewer colds b. there is a 3% chance that joggers get fewer colds c. 3% of joggers get colds d. joggers get 3% fewer colds than non-joggers e, joggers get fewer colds than non-joggers and there is only a 3% chance this is incorrect

E, Joggers get fewer colds than non-joggers and there is only a 3% chance this is incorrect

Step-by-step explanation:

Given that a researcher investigating whether joggers are less likely to get colds than people who do not jog found a p-value of.03

Here p value represents the probability for type I error which is false rejection of true hypothesis.

We create hypotheses as

H_0: p =P

H_a : p <P

where p represents the percentage of cold catchers from joggers while P the percentage of cold catchers from the non joggers.

When p value = 0.03 we have that

we have the option E right

E, Joggers get fewer colds than non-joggers and there is only a 3% chance this is incorrect