Question 1

The sampling distribution of the mean will have the same mean as the original population from which the samples were drawn.

Accepted Answer

A) True 
 B)False

Question 2

The two basic sources for error when using random sampling are:

Accepted Answer

A) sampling and selection 
B) identification and selection 
C) sampling and nonsampling 
D) bias and randomness 
E) linear and nonlinear 
A) sampling and selection 
B) identification and selection 
C) sampling and nonsampling 
D) bias and randomness 
E) linear and nonlinear

Question 3

The difference between the point estimate and the true value of the population parameter being estimated is called the estimation error.

Accepted Answer

A) True 
 B)False

Question 4

A sample in which the sampling units are chosen from the population by means of a random mechanism is a

Accepted Answer

A) probability sample 
B) judgmental sample 
C) stratified sample 
D) systematic sample 
A) probability sample 
B) judgmental sample 
C) stratified sample 
D) systematic sample

Question 5

A judgmental sample is a sample in which the

Accepted Answer

A) sampling units are chosen using a random number table 
B) quality of sampling units judged 
C) sampling units are chosen according to the sampler's judgment 
D) sampling units are all biased and vocal about it 
A) sampling units are chosen using a random number table 
B) quality of sampling units judged 
C) sampling units are chosen according to the sampler's judgment 
D) sampling units are all biased and vocal about it

Question 6

The approximate 95% confidence interval for a population mean is:

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 7

The reason the Central Limit Theorem (CLT)is such an important result in statistics is because:

Accepted Answer

A) The CLT allows us to assume that the population distribution is approximately normal,provided n is reasonably large 
B) The CLT allows us to estimate the population mean without knowing the exact form of the population distribution,provided n is reasonably large 
C) The CLT allows us to construct confidence intervals for the population mean without knowing the exact form of the population distribution,provided n is reasonably large 
D) All of these options 
A) The CLT allows us to assume that the population distribution is approximately normal,provided n is reasonably large 
B) The CLT allows us to estimate the population mean without knowing the exact form of the population distribution,provided n is reasonably large 
C) The CLT allows us to construct confidence intervals for the population mean without knowing the exact form of the population distribution,provided n is reasonably large 
D) All of these options

Question 8

The sampling method in which a population is divided into blocks and then selected by choosing a random mechanism is called a

Accepted Answer

A) random sampling 
B) systematic sampling 
C) stratified sampling 
D) cluster sampling 
A) random sampling 
B) systematic sampling 
C) stratified sampling 
D) cluster sampling

Question 9

A list of all members of the population is called a:

Accepted Answer

A) sampling unit 
B) probability sample 
C) frame 
D) relevant population 
A) sampling unit 
B) probability sample 
C) frame 
D) relevant population

Question 10

Simple random samples are typically used in real applications.

Accepted Answer

A) True 
 B)False

Question 11

In cluster sampling,the population is divided into subsets called clusters (such as cities or city blocks),and then a random sample of the clusters is selected.Once the clusters are selected,we typically sample all of the members in each selected cluster.

Accepted Answer

A) True 
 B)False

Question 12

Stratified samples are typically not used in real applications because they provide less accurate estimates of population parameters for a given sampling cost.

Accepted Answer

A) True 
 B)False

Question 13

Consider the frame of 50 full-time employees of Computer Technologies,Inc (CTI).CTI's human resources manager has collected annual salary figures for all employees and she has calculated a mean of $47,723,a median of $41,082 and a standard deviation of $24,167.A simple random sample of 10 employees is presented below (salary is in $1,000's).Compute the mean,median,and standard deviation for the sample and compare these statistics with the measures for the entire company.

Accepted Answer

Sample statistics: mean = $52,100,median

Question 14

Identifiable subpopulations within a population are called:

Accepted Answer

A) clusters 
B) samples 
C) blocks 
D) strata 
E) None of these options 
A) clusters 
B) samples 
C) blocks 
D) strata 
E) None of these options

Question 15

(A)To assess potential interest in your proposed enterprise,you would like to conduct telephone interviews with a representative subset of the 1000 Internet users.How would you proceed to stratify the given frame of 1000 individuals to choose 50 for telephone interviews? Explain your approach.
(B)Explain how you could apply cluster sampling to obtain a sample size of 50 from this frame.What are the advantages and disadvantages of employing cluster sampling in this case?

Accepted Answer

(A)Which of these factors will have an i

Question 16

Potential sample members,called sampling units,are:

Accepted Answer

A) people 
B) companies 
C) households 
D) All of these options 
A) people 
B) companies 
C) households 
D) All of these options

Question 17

It is customary to approximate the standard error of the sample mean   by substituting the sample standard deviation s for   in the formula: SE(   )=   .

Accepted Answer

A) True 
 B)False

Question 18

The approximate standard error of the sample mean is calculated as:

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 19

(A)What sample size would be required for the auditors to be approximately 95% sure that their estimate of the average savings account balance at this bank is within $150 of the true mean? Assume that their best estimate of the population standard deviation   is $300.
(B)Choose a simple random sample of the size found in (A).
(C)Compute the observed sampling error based on the sample you have drawn from the population.How does the actual sampling error compare to the maximum possible probable absolute error established in (A)? Explain

Accepted Answer

(A) @#IMG-DLM& (B)The simple random sample of size

Question 20

The averaging effect says that as you average more and more observations from a given distribution,the variance of the average increases.

Accepted Answer

A) True 
 B)False

The sampling distribution of the mean will have the same mean as the original population from which the samples were drawn.

The two basic sources for error when using random sampling are:

The difference between the point estimate and the true value of the population parameter being estimated is called the estimation error.

A sample in which the sampling units are chosen from the population by means of a random mechanism is a

A judgmental sample is a sample in which the

The approximate 95% confidence interval for a population mean is:

The reason the Central Limit Theorem (CLT)is such an important result in statistics is because:

The sampling method in which a population is divided into blocks and then selected by choosing a random mechanism is called a

A list of all members of the population is called a:

Simple random samples are typically used in real applications.

In cluster sampling,the population is divided into subsets called clusters (such as cities or city blocks),and then a random sample of the clusters is selected.Once the clusters are selected,we typically sample all of the members in each selected cluster.

Stratified samples are typically not used in real applications because they provide less accurate estimates of population parameters for a given sampling cost.

Identifiable subpopulations within a population are called:

Potential sample members,called sampling units,are:

It is customary to approximate the standard error of the sample mean by substituting the sample standard deviation s for in the formula: SE( )= .

The approximate standard error of the sample mean is calculated as:

The averaging effect says that as you average more and more observations from a given distribution,the variance of the average increases.

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, binomial, poisson, and Exponential Distributions

Decision Making Under Uncertainty

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Modeling: Applications

Introduction to Simulation Modeling

Simulation Models

Filters

Exam 7: Sampling and Sampling Distributions

The sampling distribution of the mean will have the same mean as the original population from which the samples were drawn.

The two basic sources for error when using random sampling are:

The difference between the point estimate and the true value of the population parameter being estimated is called the estimation error.

A sample in which the sampling units are chosen from the population by means of a random mechanism is a

A judgmental sample is a sample in which the

The approximate 95% confidence interval for a population mean is:

The reason the Central Limit Theorem (CLT)is such an important result in statistics is because:

The sampling method in which a population is divided into blocks and then selected by choosing a random mechanism is called a

A list of all members of the population is called a:

Simple random samples are typically used in real applications.

In cluster sampling,the population is divided into subsets called clusters (such as cities or city blocks),and then a random sample of the clusters is selected.Once the clusters are selected,we typically sample all of the members in each selected cluster.

Stratified samples are typically not used in real applications because they provide less accurate estimates of population parameters for a given sampling cost.

Identifiable subpopulations within a population are called:

Potential sample members,called sampling units,are:

It is customary to approximate the standard error of the sample mean by substituting the sample standard deviation s for in the formula: SE( )= .

The approximate standard error of the sample mean is calculated as:

The averaging effect says that as you average more and more observations from a given distribution,the variance of the average increases.

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, binomial, poisson, and Exponential Distributions

Decision Making Under Uncertainty

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Modeling: Applications

Introduction to Simulation Modeling

Simulation Models

Filters