(a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? OA. Obtaining data with a small P-value. OB. Obtaining data with a large P-value. OC. Using a large level of significance. OD. Using a small level of significance. (b) The P-value of a test of a null hypothesis is A. the probability the null hypothesis is false. OB. the probability the null hypothesis is true. OC. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed. D. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. (c) In formulating hypotheses for a statistical test of significance, the null hypothesis is often OA. a statement of "no effect" or "no difference". B. 0.05 OC. a statement that the data are all 0. OD. the probability of observing the data you actually obtained

College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
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For each problem, select the best response

(a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis?
OA. Obtaining data with a small P-value.
B. Obtaining data with a large P-value.
OC. Using a large level of significance.
D. Using a small level of significance.
(b) The P-value of a test of a null hypothesis is
A. the probability the null hypothesis is false.
B. the probability the null hypothesis is true.
C. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually
observed.
OD. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually
observed.
(c) In formulating hypotheses for a statistical test of significance, the null hypothesis is often
A. a statement of ''no effect" or ''no difference".
OB. 0.05
C. a statement that the data are all 0.
D. the probability of observing the data you actually obtained
Transcribed Image Text:(a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? OA. Obtaining data with a small P-value. B. Obtaining data with a large P-value. OC. Using a large level of significance. D. Using a small level of significance. (b) The P-value of a test of a null hypothesis is A. the probability the null hypothesis is false. B. the probability the null hypothesis is true. C. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed. OD. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. (c) In formulating hypotheses for a statistical test of significance, the null hypothesis is often A. a statement of ''no effect" or ''no difference". OB. 0.05 C. a statement that the data are all 0. D. the probability of observing the data you actually obtained
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