True or false

1.For a specific confidence interval, the smaller the sample size, the larger the maximum error of estimate will be.

2.The three confidence intervals which are often used are 99% 95% and 90%.

3.A value used to estimate a population parameter is called a sample statistic.

4.Maximum error of estimate is the minimum difference between the point estimate of a parameter and the actual value of the parameter.

5.The value of a sample statistic is required as the point estimate of the corresponding population parameter.

6.Suppose we want to find the confidence interval for a population mean. If the level of confidence is increased, say 95% to 99%. The width of the interval will also increase.

7.An interval estimate always contains the population parameter

8.If the sample size of estimating a population mean increased, the width of the confidence interval will decrease.

9.Point estimates are preferred over interval estimates since a confidence interval can be specified.

10.A good estimator is one that is unbiased, consistent, and relatively efficient.

11.Estimation means assigning values to a population parameter based on the values of a sample statistic

12.The sampling error is the difference between the sample statistic and the population parameter.

13.An estimator is the sample statistic used to estimate a population parameter.

14.An estimator is consistent if, as the sample size increases, the value of the estimator approaches the value of the parameter.

15.The statement "the weight of an audit individual is 110 pound" is an example of a point estimate.