1.The Central Limit Theorem states that as sample size becomes large

a.the sampling distribution of sample means approaches normality.

b.the sampling distribution of sample means becomes larger.

c.the population distribution becomes normal.

d.the sample distribution becomes normal.

2.An estimator is unbiased if the mean of its sampling distribution is equal to

a.the midpoint of the distribution.

b.the sample mean.

c.the population value.

d.the population median.

3.The probability that a sample mean is within 1 Z of the population mean is about

a.0.34.

b.0.68.

c.0.95.

d.0.99.