Exam 22: Sample Survey

The following are the results of a stratified random sample. a.Determine the point estimator of the population proportion. b.Estimate the standard error of the population proportion. c.Develop an approximate 95% confidence interval for the population proportion.

Exhibit 22-1 A simple random sample of size 64 is taken from a population of size 800.The sample mean is determined to be 2,550 with a standard deviation of 500. -Refer to Exhibit 22-1.An estimate of the standard error of the mean (for the total)is

A list of the sampling units for a study is

Exhibit 22-3 From a population of size 600,a simple random sample of size 58 is selected.The sample mean is 400,and the sample standard deviation is 40. -Refer to Exhibit 22-3.An approximate 95% confidence interval for the population mean is

A method of selecting a sample by randomly selecting the first element and then selecting every K^th element thereafter is

A sample of 4 clusters is to be taken from a population with N = 50 clusters and M = 800 elements in the population.The values of M_i and X_i for each cluster are shown below. a.Determine the point estimate of the population mean. b.Determine the standard error of the mean. c.Develop a 95% confidence interval for the population mean. d.Determine the point estimator of the population total. e.Approximate a 95% confidence interval estimate of the population total.

We are interested in selecting a sample from a population of size 4,000 in order to develop an approximate 95% confidence interval estimate of the population mean.A pilot study has resulted in a standard deviation of 600.What should be the sample size if we do not want the sampling error to exceed 200?

In a sample survey,it is common practice to use a t value of (when approximating a 95% confidence interval)

A stratified simple random sample has been taken with the following results. a.Determine the point estimator of the population proportion. b.Estimate the standard error of the population proportion. c.Develop an approximate 95% confidence interval for the population proportion.

The entity on which data are collected is

The population from which the sample is actually selected is

The error that occurs because a sample,and not the entire population,is used to estimate a population parameter is a

Stratified random sampling is a method of selecting a sample in which

The units that are selected for sampling constitute the

Assume simple random sampling has been used,and the following information was obtained. a.Estimate the standard error of the mean. b.Develop an approximate 95% confidence interval for the population mean.

Simple random sampling has been used to obtain a sample of size 60 from a population of size 700.The sample mean was 500 with a standard deviation of 60. a.Estimate the standard error of the mean. b.Develop an approximate 95% confidence interval for the population mean.

The accounting firm of Nancy Ahmadi & Associates (NAA)was commissioned to audit a population of 500 accounts.For this audit,NAA selected a simple random sample of 64 accounts.The sample showed an average discrepancy of $120 with a standard deviation of $24. a.Estimate the population total discrepancy. b.Develop an approximate 95% confidence interval for the population total discrepancy.

With nonprobabilistic sampling

A sample selected in such a manner that each sample of size n has the same probability of being selected is

Any method of sampling for which the probability of selecting a sample can not be computed is termed