Exam 21: Sample Survey

The accounting firm of Nancy Amari & 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.

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.

Exhibit 21-3 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 21-3. An approximate 95% confidence interval for the population mean is

A university has 5,000 students. The manager of food services at the university is interested in determining the total lunch expenditure. A simple random sample of 121 lunch receipts was selected. The sample showed an average of $3 with a standard deviation of $0.40. a.Estimate the standard error of the sample mean. b.Develop an approximate 95% confidence interval for the population mean. c.Estimate the population's total expenditure for lunch. d.Develop an approximate 95% confidence interval for the total expenditure for lunch.

The following are the results provided by a stratified simple random sample. a.Determine a point estimate for the mean of the population. b.Estimate the standard error of the mean. c.Approximate a 95% confidence interval for the population mean. d.Compute the population total. e.Determine a 95% confidence interval for the population total.

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

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.

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

An unbiased estimate of the population total is given by the

The units that are selected for sampling constitute the

A survey of an entire population is called

Exhibit 21-2 A simple random sample of 43 elements has been selected from a population of size 800. The sample mean is 500, and the sample standard deviation is 60. -Refer to Exhibit 21-2. The standard error of the mean is

Not sampling from the intended target population is an example of

Cluster sampling is

The target population and the sampled population

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

Exhibit 21-2 A simple random sample of 43 elements has been selected from a population of size 800. The sample mean is 500, and the sample standard deviation is 60. -Refer to Exhibit 21-2. An approximate 95% confidence interval for the population mean is

Exhibit 21-1 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 21-1. An estimate of the standard error of the mean (for the total) is

Which of the following is (are) the most common type(s) of surveys?

Simple random sampling has been used to obtain a sample of n = 40 elements from a population of N=300. The sample proportion a.Estimate the standard error of the proportion. b.Develop an approximate 95% confidence interval for the population proportion.