The p-value measures the strength of evidence:

a) the interpretation depends on whether we reject the null hypothesis.

b) against the alternative hypothesis.

c) sometimes against the null hypothesis and sometimes against the alternative hypothesis.

d) against the null hypothesis.

Question

Tavian

Mathematics

23 September, 04:04

The p-value measures the strength of evidence:

a) the interpretation depends on whether we reject the null hypothesis.

b) against the alternative hypothesis.

c) sometimes against the null hypothesis and sometimes against the alternative hypothesis.

d) against the null hypothesis.

+3

Answers (1)

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Toby Good · Answer 1

D

Step-by-step explanation:

P value measures the strength of evidence d. Against the null hypothesis.

The smaller the p value the strong the evidence that you should reject the null hypothesis. That means alternative hypothesis is strong.

For p < = 0.05 we will reject the null hypothesis

And p > 0.05 we fail to reject the null hypothesis. That is alternative hypothesis is not so strong.

The p-value measures the strength of evidence:a) the interpretation depends on whether we reject the null hypothesis.b) against the alternative hypothesis.c) sometimes against the null hypothesis and sometimes against the alternative hypothesis.d) against the null hypothesis.

The p-value measures the strength of evidence:

a) the interpretation depends on whether we reject the null hypothesis.

b) against the alternative hypothesis.

c) sometimes against the null hypothesis and sometimes against the alternative hypothesis.

d) against the null hypothesis.