Answer:-
Sampling distribution is a one of the probability mechanism.
The null distribution is the probability distribution of the test statistic when the null hypothesis is true.Null hypothesis is used when we conducting experiments.
Under the null hypothesis one of the distribution is nul distribution. If the results of the two sets of data are not outside the parameters of the expected results, then the null hypothesis is said to be true.
The null hypothesis tries to show that among two sets of data, there is no statistical difference between the results of doing one thing as opposed to doing a different thing
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A sampling distribution is Multiple Choice based on the assumption that the null hypothesis is correct. a probability distribution. specified by the null hypothesis. All answer choices are correct.
Suppose that the null hypothesis is true, that the distribution of the test statistic, say T, is continuous with cumulative distribution function F and that the test rejects the null hypothesis for large values of T. Let V denote the p-value of the test. a. Show that V = 1 − F(T). b. Conclude that the null distribution of V is uniform. c. If the null hypothesis is true, what is the probability that the p-value is greater than 0.1?