Question 1

A target population is

Accepted Answer

A) the population from which the sample is actually selected 
B) the population for which inferences are to be made 
C) always the same as the sampled population 
D) the same as the sample 
A) the population from which the sample is actually selected 
B) the population for which inferences are to be made 
C) always the same as the sampled population 
D) the same as the sample

Question 2

Probabilistic sampling is any method of sampling in which

Accepted Answer

A) the probability of the occurrence of various events in the study are known 
B) there are only two possible outcomes, such as P(
A)  and P(Ac) 
C) the probability of each possible sample can be computed 
D) the probability of each possible sample is one 
A) the probability of the occurrence of various events in the study are known 
B) there are only two possible outcomes, such as P(
A)  and P(Ac) 
C) the probability of each possible sample can be computed 
D) the probability of each possible sample is one

Question 3

Which of the following is an example of nonprobabilistic sampling?

Accepted Answer

A) simple random sampling 
B) stratified simple random sampling 
C) cluster sampling 
D) judgment sampling 
A) simple random sampling 
B) stratified simple random sampling 
C) cluster sampling 
D) judgment sampling

Question 4

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.

Accepted Answer

a.0.0359
b.2.93 to 3

Question 5

Errors such as measurement error, processing error, and interviewer error are

Accepted Answer

A) sampling errors 
B) nonsampling errors 
C) could be either sampling or nonsampling errors 
D) impossible to detect 
A) sampling errors 
B) nonsampling errors 
C) could be either sampling or nonsampling errors 
D) impossible to detect

Question 6

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 total is

Accepted Answer

A) 350,000 to 450,000 
B) 234,010 to 245,990 
C) 350 to 400 
D) 390 to 409 
A) 350,000 to 450,000 
B) 234,010 to 245,990 
C) 350 to 400 
D) 390 to 409

Question 7

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. An approximate 95% confidence interval for the population total is

Accepted Answer

A) 482 to 517 
B) 385,759 to 414,241 
C) 400,000 to 500,000 
D) 350,000 to 450,000 
A) 482 to 517 
B) 385,759 to 414,241 
C) 400,000 to 500,000 
D) 350,000 to 450,000

Question 8

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.

Accepted Answer

a.7.4 (rou

Question 9

A simple random sample of size 36 is selected from a population of size 750. The sample mean is 318, and the sample standard deviation is found to be 30.
a.Estimate the standard error of the mean.
b.Develop an approximate 95% confidence interval for the population mean.

Accepted Answer

a.4.9 (rou

Question 10

The target population and the sampled population

Accepted Answer

A) are always the same 
B) are not always the same 
C) must be the same for the results to be accurate 
D) None of these alternatives is correct. 
A) are always the same 
B) are not always the same 
C) must be the same for the results to be accurate 
D) None of these alternatives is correct.

Question 11

With nonprobabilistic sampling

Accepted Answer

A) it is possible to make estimates about the precision of the population parameters 
B) it is not possible to make statements about the precision of estimates made concerning the population parameters 
C) the precision can be estimated if the sample is larger than 30 
D) None of these alternatives is correct. 
A) it is possible to make estimates about the precision of the population parameters 
B) it is not possible to make statements about the precision of estimates made concerning the population parameters 
C) the precision can be estimated if the sample is larger than 30 
D) None of these alternatives is correct.

Question 12

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. The point estimate of the population total is

Accepted Answer

A) 51,200 
B) 1,275,000 
C) 102,000 
D) 2,040,000 
A) 51,200 
B) 1,275,000 
C) 102,000 
D) 2,040,000

Question 13

A survey of an entire population is called

Accepted Answer

A) population analysis 
B) population 
C) census 
D) target population 
A) population analysis 
B) population 
C) census 
D) target population

Question 14

A community has 2,000 registered voters. A pilot study revealed that 70% of the individuals are planning to vote for the incumbent mayor. We are interested in selecting a sample. So that the sampling error will not exceed 4%, what size sample should be taken?

Accepted Answer

The answer of A community has 2,000 registered voters. A...

Question 15

Exhibit 22-4
Simple random sampling has been used to obtain a sample of size 50 from a population of size 500. The sample proportion was 0.7.
-Refer to Exhibit 22-4. An approximate 95% confidence interval for the population proportion is

Accepted Answer

A) 0.500 to 0.700 
B) 0.750 to 0.810 
C) 0.576 to 0.824 
D) 0.638 to 0.762 
A) 0.500 to 0.700 
B) 0.750 to 0.810 
C) 0.576 to 0.824 
D) 0.638 to 0.762

Question 16

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

Accepted Answer

A) probability sampling 
B) nonprobabilistic sampling 
C) unknown population sampling 
D) None of these alternatives is correct. 
A) probability sampling 
B) nonprobabilistic sampling 
C) unknown population sampling 
D) None of these alternatives is correct.

Question 17

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

Accepted Answer

A) nonsampling error 
B) sampling error 
C) judgment error 
D) standard error 
A) nonsampling error 
B) sampling error 
C) judgment error 
D) standard error

Question 18

The entity on which data are collected is

Accepted Answer

A) the sample 
B) the element 
C) the population 
D) termed a census 
A) the sample 
B) the element 
C) the population 
D) termed a census

Question 19

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

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 4 
A) 1 
B) 2 
C) 3 
D) 4

Question 20

A version of cluster sampling in which the elements are formed into clusters on the basis of their geographic proximity is

Accepted Answer

A) stratified simple random sampling 
B) random sampling 
C) judgment sampling 
D) area sampling 
A) stratified simple random sampling 
B) random sampling 
C) judgment sampling 
D) area sampling

Exam 22: Sample Survey on Website

A target population is

Probabilistic sampling is any method of sampling in which

Which of the following is an example of nonprobabilistic sampling?

Errors such as measurement error, processing error, and interviewer error are

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 total 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. An approximate 95% confidence interval for the population total 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.

A simple random sample of size 36 is selected from a population of size 750. The sample mean is 318, and the sample standard deviation is found to be 30. a.Estimate the standard error of the mean. b.Develop an approximate 95% confidence interval for the population mean.

The target population and the sampled population

With nonprobabilistic sampling

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. The point estimate of the population total is

A survey of an entire population is called

A community has 2,000 registered voters. A pilot study revealed that 70% of the individuals are planning to vote for the incumbent mayor. We are interested in selecting a sample. So that the sampling error will not exceed 4%, what size sample should be taken?

Exhibit 22-4 Simple random sampling has been used to obtain a sample of size 50 from a population of size 500. The sample proportion was 0.7. -Refer to Exhibit 22-4. An approximate 95% confidence interval for the population proportion is

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

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

The entity on which data are collected is

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

A version of cluster sampling in which the elements are formed into clusters on the basis of their geographic proximity is

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

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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

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Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

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