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Which of the following is NOT true about P-values in hypothesis testing?

A) The P-value separates the critical region from the values that do not lead to rejection of the null hypothesis.

B) If the P is high, the null will fly.

c) If the P is low, the null must go.

D) The P-value is an area.

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Keith Leannon
Keith LeannonLv2
19 Feb 2020
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Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

Related questions

Which of the following is NOT a criterion for making a decision in a hypothesis test?
A) If the test statistic falls within the critical region, the decision is to reject the null hypothesis.
B) If a confidence interval does not include a claimed value of a population parameter, the decision is to reject the null hypothesis.
C) If the P-value is less than 0.05, the decision is to reject the null hypothesis. Otherwise, we fail to reject the null hypothesis.
D) If P-value ≤ α, the decision is to reject the null hypothesis. Otherwise, we fail to reject the null hypothesis.

Which of the following is NOT a criterion for making a decision in a hypothesis test? Choose the correct answer below.

A.) If the test statistic falls within the critical region, the decision is to reject the null hypothesis.

B.) If a confidence interval does not include a claimed value of a population parameter, the decision is to reject the null hypothesis.

C.) If the P-value is less than 0.05, the decision is to reject the null hypothesis. Otherwise, we fail to reject the null hypothesis.

 

(a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? 

A. Obtaining data with a small P-value. 

B. Obtaining data with a large P-value.

C. Using a small level of line significance.

D. Using a a large level of significance.

(b) The P-value of  a test of a null hypothesis is 

 

A. The probability of the null hypothesis is true.

B. The probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.

C. The probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.

D. The probability of the null hypothesis is false.

(c) In formulating hypotheses for a statistical test of significance, the null hypothesis is often 

A. 0.05 

B. the probability of observing the data you actually obtained 

C. a statement of ''no effect'' or '' no difference''.

D. a statement that the data are 0.

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