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13 February, 10:33

A researcher 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

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  1. 13 February, 10:38
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    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
    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
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