How can we determine the representativeness of a sample mean for a particular population?
a. Draw a graph and compare the heights of the bars representing the population and sample means.
b. Convert the sample mean to a z-score and compare the z-score to the critical value.
c. Compare the sample mean to the population mean and compare the difference to the criterion.
d. Compare the sample mean to the population standard deviation and look up its probability.
Question 2If we decide not to reject the idea that a sample represents a particular population, because the sample mean does not lie within the rejection region,
a. although the probability is low, our decision may be wrong.
b. the probability is high that our decision is wrong.
c. we cannot know the probability of our decision being right or wrong.
d. the probability of our decision being correct is 0.05.
Question 3If we decide to reject the idea that a sample represents a particular population, because the sample mean lies within the region of rejection,
a. although the probability is low, our decision may be wrong.
b. the probability is high that our decision is wrong.
c. we cannot know the probability of our decision being wrong.
d. the probability of our decision being correct is 0.05.
Question 4When a z-score is not in the region of rejection, we should
a. reject the idea that random chance produced a sample that represents the population poorly.
b. conclude with the idea that the sample scores and the raw score population are similar enough to be called identical.
c. not reject the idea that the sample represents the raw score population.
d. reject the idea that the sample represents the raw score population.
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