A) a nonprobability sampling method B) the same as convenience sampling C) a probability sampling method D) None of these alternatives is correct. A) a nonprobability sampling method B) the same as convenience sampling C) a probability sampling method D) None of these alternatives is correct.

Exam 22: Sample Survey on Website

Simple random sampling has been used to obtain a sample of 81 elements from a population of size 500. The sample mean is 120, and the sample standard deviation is determined to be 36. a.Estimate the standard error of the mean. b.Develop an approximate 95% confidence interval for the population mean. c.Estimate the population total. d.Develop an approximate 95% confidence interval for the population total.

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Question 41

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.

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Question 42

A survey of a subset of a population is called a

(Multiple Choice)

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Question 43

A number added to and subtracted from a point estimate to create an approximate 95% confidence interval is known as

(Multiple Choice)

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Question 44

A list of the sampling units for a study is

(Multiple Choice)

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Question 45

Assume simple random sampling has been used, and the following information was obtained.Population size N = 900 Sample size n = 36 Sample mean = 300 Sample standard deviation s = 72 a.Estimate the standard error of the mean. b.Develop an approximate 95% confidence interval for the population mean.

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Question 46

Cluster sampling is

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Question 47

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

(Multiple Choice)

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Question 48

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

(Multiple Choice)

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Question 49

Exhibit 22-2 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 22-2. The standard error of the mean is

(Multiple Choice)

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Question 50

A company has 600 employees. A random sample of 49 employees took a computer literacy test. The sample resulted in a mean score of 75 with a standard deviation of 21. a.Estimate the standard error of the mean. b.Develop an approximate 95% confidence interval for the population mean of the 600 employees.

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Question 51

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

(Multiple Choice)

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Question 52

An unbiased estimate of the population total is given by the

(Multiple Choice)

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Question 53

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.

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Question 54

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 estimate of the standard error of the mean is

(Multiple Choice)

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Question 55

The advantage of nonprobabilistic sampling is that it is inexpensive and

(Multiple Choice)

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Question 56

Conclusions drawn from a sample survey

(Multiple Choice)

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Question 57

From a population of 2000 accounts receivable, a simple random sample of 120 accounts is selected. Thirty-six of the accounts in the sample were overdue. a.Estimate the standard error of the proportion of the overdue accounts. b.Develop an approximate 95% confidence interval for the proportion of overdue accounts in the population.

(Short Answer)

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Question 58

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.

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Question 59

Convenience sampling is an example of

(Multiple Choice)

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Question 60

Showing 41 - 60 of 63

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.

A survey of a subset of a population is called a

A number added to and subtracted from a point estimate to create an approximate 95% confidence interval is known as

A list of the sampling units for a study is

Assume simple random sampling has been used, and the following information was obtained.Population size N = 900 Sample size n = 36 Sample mean = 300 Sample standard deviation s = 72 a.Estimate the standard error of the mean. b.Develop an approximate 95% confidence interval for the population mean.

Cluster sampling is

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

Exhibit 22-2 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 22-2. The standard error of the mean 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

An unbiased estimate of the population total is given by the

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 estimate of the standard error of the mean is

The advantage of nonprobabilistic sampling is that it is inexpensive and

Conclusions drawn from a sample survey

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.

Convenience sampling is an example of

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Test of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Index Numbers

Decision Analysis on Website

Filters

Exam 22: Sample Survey on Website

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.

A survey of a subset of a population is called a

A number added to and subtracted from a point estimate to create an approximate 95% confidence interval is known as

A list of the sampling units for a study is

Assume simple random sampling has been used, and the following information was obtained.Population size N = 900 Sample size n = 36 Sample mean = 300 Sample standard deviation s = 72 a.Estimate the standard error of the mean. b.Develop an approximate 95% confidence interval for the population mean.

Cluster sampling is

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 method of selecting a sample by randomly selecting the first element and then selecting every Kth element thereafter is

Exhibit 22-2 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 22-2. The standard error of the mean 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

An unbiased estimate of the population total is given by the

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 estimate of the standard error of the mean is

The advantage of nonprobabilistic sampling is that it is inexpensive and

Conclusions drawn from a sample survey

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.

Convenience sampling is an example of

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Test of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Index Numbers

Decision Analysis on Website

Filters

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