Question

1. An estimator is unbiased if

		A. the expected value of the estimator is equal to the sample statistic.
		B. the p-value is less than .05.
		C. the standard error is small.
		D. the expected value of the estimator is equal to the true population parameter.

2.If we find that it is unlikely to observe the sample statistic that is actually observed if the null hypothesis is true, then we should

		A. reject the alternative hypothesis.
		B. fail to reject the null hypothesis.
		C. reject the null hypothesis.
		D. calculate a new sample statistic.

3. A standard error is

		A. the variance of the population distribution.
		B. the standard deviation of the population distribution.
		C. the variance of the sampling distribution.
		D. the standard deviation of the sampling distribution

4. A confidence interval is constructed

		A. to bracket the sample mean.
		B. to bracket the margin of error.
		C. to bracket the population parameter.
		D. to bracket the sample statistic.

5. A sampling distribution is

		A.the distribution of a parameter.
		B. the standard deviation of the estimated slope coefficient.
		C. the standard deviation of a statistic.
		D. the distribution of a statistic.

Answer 1

Solution :

1) An estimator is unbiased if

   D. the expected value of the estimator is equal to the true population parameter.

2)

If we find that it is unlikely to observe the sample statistic that is actually observed if the null hypothesis is true, then we should

   C. reject the null hypothesis.

3)

A standard error is

D. the standard deviation of the sampling distribution

4)

A confidence interval is constructed

C. to bracket the population parameter.

5)

A sampling distribution is

C. the standard deviation of a statistic.