When using a z-test for comparing a sample mean against a standard, one must consider all of the following EXCEPT whether the
a. variance of the variable in the population is known or unknown.
b. distribution of the variable in the population is normal (or at least symmetrical) or asymmetrical.
c. mean falls within an acceptable confidence interval.
d. sample size is small or large.
e. All of the above must be considered.
Question 2
Which of the following would be an appropriate interpretation of a p-value?
a. A p-value of p < 0.0001 is highly significant' and therefore much more valid than a p value of 0.05.
b. When a null hypothesis is rejected at some predetermined p level, sampling error is an unlikely explanation of the results, given that the null hypothesis is true.
c. When a p-value shows significance, managerial and practical significance can be assumed.
d. The probability that the research hypothesis is true is equal to 1 minus the p-value.
e. A p-value represents the probability that the results occurred because of sampling error.
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