In a test of hypothesis for a mean, which statement is CORRECT? The population d

Question

In a test of hypothesis for a mean, which statement is CORRECT? The population distribution can be any distribution because the sample mean is always Normally distributed. The population must be normal because that is the only case when the sample mean is Normally distributed. The test requires that the sample mean is normally distributed: this requires that either the population distribution is Normal or the sample size exceeds 30. As long as the population distribution consists only of positive values, sample size does not matter. A veterinarian collects data on the number of times race horses are raced during their career. The researcher finds the average number of races a horse enters is r = 15.3 with a standard deviation of s = 6.8 in a sample of n = 20 horses. The standard error of the sample mean r is given by (rounded to three digits): 1.521. 1.560. 0.340 0.358. In testing hypotheses, if the consequences of falling to reject a null hypothesis that is actually false are very serious, we should: use a very large level of significance. use a very small level of significance insist that the P -value be smaller than the level of significance insist that the level of significance be smaller than the P -value. A "false negative, " in which no effect is detected when in reality one exists, is an example of: a Type I error. a Type II error. the power of the test. None of the above

Explanation / Answer

10)

option b

11)

option a . . . . . . . . . . . .

12)

option a .. . . . . . . . . . .. . . . . . .. . . . .

13)

option c

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