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In hypothesis testing, the tentative assumption about the population parameter is that the null hypothesis

a.) is true

b.) none of these alternatives is correct

c.) maybe true or false

d.) is false

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Karol E.
Karol E.Lv8
19 Mar 2021
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Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

Related questions

Determine whether the statement is true or false.

A hypothesis is an assumption about a population parameter such as a mean or a proportion.

1.) Which of the following answers represents the objective of a hypothesis test?

a. Rejecting the null hypothesis when it is true.

b. Rejecting the null hypothesis when it is false.

c. Not rejecting the null hypothesis when it is true.

d. Rejecting the null hypothesis when it is false and not rejecting the null hypothesis when it is true.

Ā 

2.) If the chosen significance level is ? = 0.05, then

a. there is a 5% probability of rejecting a true null hypothesis

b. there is a 5% probability of accepting a true null hypothesis

c. there is a 5% probability of rejecting a false null hypothesis

d. there is a 5% probability of accepting a false null hypothesis

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

A. Obtaining data with a small P-value.Ā 

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 ofĀ  a test of a null hypothesis isĀ 

Ā 

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 oftenĀ 

A. 0.05Ā 

B. the probability of observing the data you actually obtainedĀ 

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

D. a statement that the data are 0.

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