Multiple Choice (1 pt) For each problem, select the best response. (a) In formul
ID: 3356544 • Letter: M
Question
Multiple Choice
(1 pt) For each problem, select the best response.
(a) In formulating hypotheses for a statistical test of significance, the null hypothesis is often
A. a statement of ''no effect'' or ''no difference''.
B. the probability of observing the data you actually obtained
C. 0.05
D. a statement that the data are all 0.
(b) In testing hypotheses, which of the following would be strong evidence against the null hypothesis?
A. Obtaining data with a small P -value.
B. Using a large level of significance.
C. Obtaining data with a large P -value.
D. Using a small level of significance.
(c) The P -value of a test of a null hypothesis is
A. the probability that, assuming the null hypothesis is true, the test statistic will take a value as or more extreme as that actually observed. B. the probability that, assuming the null hypothesis is false, the test statistic will take a value as or more extreme as that actually observed.
C. the probability the null hypothesis is false.
D. the probability the null hypothesis is true.
Explanation / Answer
(a) The null hypothesis is taken as "ground zero" or no change. Therefore the answer is:
A. a statement of ''no effect'' or ''no difference''.
(b) Whenever p < , the null hypothesis is rejected.
The answer is : A. Obtaining data with a small P -value.
(c) The P -value of a test of a null hypothesis is
A. the probability that, assuming the null hypothesis is true, the test statistic will take a value as or more extreme as that actually observed.
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