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bronzebuffalo462Lv1

11 Dec 2019

what are the two types of hypotheses used in a hypothesis test? how are they related?

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Related questions

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

A. Obtaining data with a small P-value.

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 of a test of a null hypothesis is

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.

A. 0.05

B. the probability of observing the data you actually obtained

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

D. a statement that the data are 0.

viridianweasel783

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. a statement that the data are all 0.
D. 0.05.
E. the probability that the parameter value is actually U.