Problem 1 For each staterment, answer either True or False. Recall that o is the

Question

Problem 1 For each staterment, answer either True or False. Recall that o is the probability of a Type l error and Type 11 emr 9 us the probability of a When constructing a hypothesis test, the statement that I prefer to be correct should be the null hypothesis, while the statement that I don't want to be correct should be the alternative hypothesis A Type I error occurs when I reject the null hypothesis even though the null hypothesis is correct. If I compute a P-value of 0.02, this means that there's a 2% chance that the null hypothesis is correct. Whether I decide to retain or reject the null hypothesis, I can never be certain that I've made the correct decision. lf I compute a P-value of 0.00097, this means that the null hy- pothesis looks plausible.

Explanation / Answer

Ans:

1)False

The null hypothesis (H0) is a hypothesis which the researcher tries to disprove, reject or nullify.

The 'null' often refers to the common view of something, while the alternative hypothesis is what the researcher really thinks is the cause of a phenomenon.

2)True

3)True

The P value, or calculated probability, is the probability of finding the observed, or more extreme, results when the null hypothesis (H 0) of a study question is true – the definition of 'extreme' depends on how the hypothesis is being tested.

small p-value is strong evidence against null hypothesis.

4)True

As,there is always chance to make type I or type II error.

5)When p-value=0.00097,we reject null hypothesis(as p-value<0.01 or 0.05 or 0.1)

So ,null hypothesis should not be plausible.

False

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