Question 1

Cluster sampling is often less convenient and more costly than other random sampling methods.

Accepted Answer

A) True 
 B)False

Question 2

A simple random sample is one where each member of the population has a known chance (this may differ from one member to another) or probability of being chosen.

Accepted Answer

A) True 
 B)False

Question 3

The size of a sample can be selected by first determining the desired standard error and then using the formula   to calculate n.

Accepted Answer

A) True 
 B)False

Question 4

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, media

Question 5

When a portion of the sample does not respond to the survey, ____ has occurred.

Accepted Answer

A)  a measurement error 
B)  nonresponse bias 
C)  a sampling error 
D)  systematic failure 
E)  a nonlinear error 
A)  a measurement error 
B)  nonresponse bias 
C)  a sampling error 
D)  systematic failure 
E)  a nonlinear error

Question 6

Identifiable subpopulations within a population are called:

Accepted Answer

A)  clusters 
B)  samples 
C)  blocks 
D)  strata 
E)  none of these choices 
A)  clusters 
B)  samples 
C)  blocks 
D)  strata 
E)  none of these choices

Question 7

(A) What sample size would be required for the production personnel to be approximately 95% sure that their estimate of the average number of errors per issue is within 4 errors of the true mean? Assume that the editor's best estimate of the population standard deviation (   ) is 10 errors per issue.
(B) How does your answer to (A) change if the editor wants the estimate to be within 3 errors of the actual population mean? Explain the difference in your answers to (A) and (B).

Accepted Answer

(A) @#IMG-DLM& (B) In this case, @#IMG-DLM& . This

Question 8

If systematic sampling is chosen as the sampling technique, it is probably because:

Accepted Answer

A)  systematic sampling has better statistical properties than simple random sampling 
B)  systematic sampling is more convenient 
C)  systematic sampling always results in more representative sampling than simple random sampling 
D)  none of these choices 
A)  systematic sampling has better statistical properties than simple random sampling 
B)  systematic sampling is more convenient 
C)  systematic sampling always results in more representative sampling than simple random sampling 
D)  none of these choices

Question 9

An estimator is said to be unbiased if the mean of its sampling distribution equals the value of the population parameter being estimated.

Accepted Answer

A) True 
 B)False

Question 10

Which statement is true of proportional sample sizes?

Accepted Answer

A)  The proportion of a stratum in the sample is independent of the proportion of that stratum in the population. 
B)  The proportion of a stratum in the sample is the same as the proportion of that stratum in the population. 
C)  The proportion of a stratum in the sample is greater than the proportion of that stratum in the population. 
D)  The proportion of a stratum in the sample is less than the proportion of that stratum in the population. 
A)  The proportion of a stratum in the sample is independent of the proportion of that stratum in the population. 
B)  The proportion of a stratum in the sample is the same as the proportion of that stratum in the population. 
C)  The proportion of a stratum in the sample is greater than the proportion of that stratum in the population. 
D)  The proportion of a stratum in the sample is less than the proportion of that stratum in the population.

Cluster sampling is often less convenient and more costly than other random sampling methods.

A simple random sample is one where each member of the population has a known chance (this may differ from one member to another) or probability of being chosen.

The size of a sample can be selected by first determining the desired standard error and then using the formula to calculate n.

When a portion of the sample does not respond to the survey, ____ has occurred.

Identifiable subpopulations within a population are called:

If systematic sampling is chosen as the sampling technique, it is probably because:

An estimator is said to be unbiased if the mean of its sampling distribution equals the value of the population parameter being estimated.

Which statement is true of proportional sample sizes?

Introduction to Business Analytics

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 Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 7: Sampling and Sampling Distributions

Cluster sampling is often less convenient and more costly than other random sampling methods.

A simple random sample is one where each member of the population has a known chance (this may differ from one member to another) or probability of being chosen.

The size of a sample can be selected by first determining the desired standard error and then using the formula to calculate n.

When a portion of the sample does not respond to the survey, ____ has occurred.

Identifiable subpopulations within a population are called:

If systematic sampling is chosen as the sampling technique, it is probably because:

An estimator is said to be unbiased if the mean of its sampling distribution equals the value of the population parameter being estimated.

Which statement is true of proportional sample sizes?

Introduction to Business Analytics

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 Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters