Type 1: There reall is not an effect (population truth), but you find one (your
ID: 3269254 • Letter: T
Question
Type 1: There reall is not an effect (population truth), but you find one (your decision) in your study.
Type 2: There really is an affect ( population truth), but you don't find one ( your decision) in your study.
It is a population fact that men and women differ in height. You draw a random sample of men and a random sample of women, measure their heigjts, and find that the average height of the men and women do not differ. Given that men's and women's heights really are different in their respective populations, what type of error occurred in your study- Type 1 or Type 2? explain your answer.
Explanation / Answer
Type 2 error
In type 2 error, you make a hypothesis, but you fail to reject the null hypothesis, even if it is false. Here, there is actually an effect, but you failed to find out that effect. So, you could not fing out that the null hypothesis was false. So, this will come in Type 2 error
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