(a) in testing hypotheses, which of the following would be strong evidence against the null hypothesis? O A. Using a small level of significance. O B. Obtaining data with a large P-value. C. Using a large level of significance. O D. Obtaining data with a small P-value.

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Chapter1: Combinatorial Analysis
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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?
A. Using a small level of significance.
B. Obtaining data with a large P-value.
O C. Using a large level of significance.
D. Obtaining data with a small P-value.
(b) The P-value of a test of a null hypothesis is
OA. the probability the null hypothesis is false.
B. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.
O C. the probability the null hypothesis is true.
O D. 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) In formulating hypotheses for a statistical test of significance the null hypothesis is often
A. the probability of observing the data you actually obtained
B. a statement of "no effect" or "no difference".
C. a statement that the data are all 0.
Transcribed Image Text:(a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? A. Using a small level of significance. B. Obtaining data with a large P-value. O C. Using a large level of significance. D. Obtaining data with a small P-value. (b) The P-value of a test of a null hypothesis is OA. the probability the null hypothesis is false. B. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. O C. the probability the null hypothesis is true. O D. 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) In formulating hypotheses for a statistical test of significance the null hypothesis is often A. the probability of observing the data you actually obtained B. a statement of "no effect" or "no difference". C. a statement that the data are all 0.
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