For each problem, select the best response.
(a) The P -value of a test of a null hypothesis
is
A. the probability the null hypothesis is
false.
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 the null hypothesis is
true.
(b) In testing hypotheses, which of the following would be
strong evidence against the null hypothesis?
A. Using a large level of significance.
B. Using a small level of significance.
C. Obtaining data with a small P
-value.
D. Obtaining data with a large P
-value.
(c) In formulating hypotheses for a statistical test of
significance, the null hypothesis is often
A. 0.05
B. a statement that the data are all 0.
C. the probability of observing the data you
actually obtained
D. a statement of ''no effect'' or ''no
difference''.
ANSWER::
Option:: (c) is correct...........
Option:: (c) is correct...........
Option:: (d) is correct...........
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