Why is the Central Limit Theorem so important to the study of sampling distributions? 7) _______

A) It allows us to disregard the shape of the population when n is large.

B) It allows us to disregard the shape of the sampling distribution when the size of the population is large.

C) It allows us to disregard the size of the population we are sampling from.

D) It allows us to disregard the size of the sample selected when the population is not normal.

For a sample size of 1, the sampling distribution of the mean will be normally distributed 8) _______

A) only if the population values are positive.

B) regardless of the shape of the population.

C) only if the shape of the population is symmetrical.

D) only if the population is normally distributed.

Suppose a 95% confidence interval for ? turns out to be (1,000, 2,100). To make more useful inferences from the data, it is desired to reduce the width of the confidence interval. Which of the following will result in a reduced interval width? 9) _______

A) Increase the sample mean.

B) Increase the population mean.

C) Increase the sample size.

D) Increase the confidence level.

Suppose a 95% confidence interval for ? turns out to be (1,000, 2,100). Give a definition of what it means to be "95% confident" as an inference. 10) ______

A) 95% of the observations in the entire population fall in the given interval.

B) In repeated sampling, the population parameter would fall in the given interval 95% of the time.

C) 95% o