Question 1

Voluntary response bias occurs when the responses to questions do not reflect what the investigator had in mind.

Accepted Answer

A) True 
 B)False

Question 2

The sampling mean   is the _____ estimate for the population mean   .

Accepted Answer

A) random 
B) point 
C) simple 
D) interval 
A) random 
B) point 
C) simple 
D) interval

Question 3

In stratified sampling,the population is divided into relatively homogeneous subsets called strata,and then random samples are taken from each stratum.

Accepted Answer

A) True 
 B)False

Question 4

The mean of the sampling distribution of   always equals

Accepted Answer

A) the population mean   
B)    / n 
C) the population standard deviation   
D)    / n 
A) the population mean   
B)    / n 
C) the population standard deviation   
D)    / n

Question 5

The primary advantage of cluster sampling is sampling convenience (and possibly less cost).The downside,however,is that the inferences drawn from a cluster sample can be less accurate,for a given sample size,than for other sampling plans.

Accepted Answer

A) True 
 B)False

Question 6

An unbiased estimate is a point estimate such that the mean of its sampling distribution is equal to the true value of the population parameter being estimated.

Accepted Answer

A) True 
 B)False

Question 7

If the sample size is greater than 30,the Central Limit Theorem (CLT)will always apply.

Accepted Answer

A) True 
 B)False

Question 8

Which of the following is not a consideration when determining appropriate sample size?

Accepted Answer

A) The cost of sampling 
B) The timely collection of the data 
C) Interviewer fatigue 
D) The likelihood of nonsampling error 
A) The cost of sampling 
B) The timely collection of the data 
C) Interviewer fatigue 
D) The likelihood of nonsampling error

Question 9

An unbiased estimator is a:

Accepted Answer

A) sample statistic used to approximate a population parameter 
B) sample statistic,which has an expected value equal to the value of the population parameter 
C) sample statistic whose value is usually less than the population parameter 
D) standard error of the mean 
A) sample statistic used to approximate a population parameter 
B) sample statistic,which has an expected value equal to the value of the population parameter 
C) sample statistic whose value is usually less than the population parameter 
D) standard error of the mean

Question 10

A cannery claims that its sardine cans have a net weight of 8 oz.,with a standard deviation of 0.1 oz.You take a simple random sample of 30 cans and encounter a sample mean of 7.85 oz.Are you inclined to believe the claim?

Accepted Answer

The sampling distribution of @#IMG-DLM& is normal

Question 11

An interval estimate is an interval calculated from the population data,where we strongly believe the true value of the population parameter lies.

Accepted Answer

A) True 
 B)False

Question 12

Systematic sampling is generally similar to simple random sampling in its statistical properties.

Accepted Answer

A) True 
 B)False

Voluntary response bias occurs when the responses to questions do not reflect what the investigator had in mind.

The sampling mean is the _____ estimate for the population mean .

In stratified sampling,the population is divided into relatively homogeneous subsets called strata,and then random samples are taken from each stratum.

The mean of the sampling distribution of always equals

The primary advantage of cluster sampling is sampling convenience (and possibly less cost).The downside,however,is that the inferences drawn from a cluster sample can be less accurate,for a given sample size,than for other sampling plans.

An unbiased estimate is a point estimate such that the mean of its sampling distribution is equal to the true value of the population parameter being estimated.

If the sample size is greater than 30,the Central Limit Theorem (CLT)will always apply.

Which of the following is not a consideration when determining appropriate sample size?

An unbiased estimator is a:

A cannery claims that its sardine cans have a net weight of 8 oz.,with a standard deviation of 0.1 oz.You take a simple random sample of 30 cans and encounter a sample mean of 7.85 oz.Are you inclined to believe the claim?

An interval estimate is an interval calculated from the population data,where we strongly believe the true value of the population parameter lies.

Systematic sampling is generally similar to simple random sampling in its statistical properties.

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

Voluntary response bias occurs when the responses to questions do not reflect what the investigator had in mind.

The sampling mean is the _____ estimate for the population mean .

In stratified sampling,the population is divided into relatively homogeneous subsets called strata,and then random samples are taken from each stratum.

The mean of the sampling distribution of always equals

The primary advantage of cluster sampling is sampling convenience (and possibly less cost).The downside,however,is that the inferences drawn from a cluster sample can be less accurate,for a given sample size,than for other sampling plans.

An unbiased estimate is a point estimate such that the mean of its sampling distribution is equal to the true value of the population parameter being estimated.

If the sample size is greater than 30,the Central Limit Theorem (CLT)will always apply.

Which of the following is not a consideration when determining appropriate sample size?

An unbiased estimator is a:

A cannery claims that its sardine cans have a net weight of 8 oz.,with a standard deviation of 0.1 oz.You take a simple random sample of 30 cans and encounter a sample mean of 7.85 oz.Are you inclined to believe the claim?

An interval estimate is an interval calculated from the population data,where we strongly believe the true value of the population parameter lies.

Systematic sampling is generally similar to simple random sampling in its statistical properties.

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