Question 1

When the sample size is greater than 5% of the population,the formula for the standard error of the mean should be modified with a finite population correction.

Accepted Answer

A) True 
 B)False

Question 2

Which of the following statements are correct?

Accepted Answer

A) A point estimate is an estimate of the range of a population parameter. 
B) A point estimate is a single value estimate of the value of a population parameter. 
C) A point estimate is an unbiased estimator if its standard deviation is the same as the actual value of the population standard deviation. 
D) All of these choices are correct.

Question 3

The two basic sources for error when using random sampling are _____ error.

Accepted Answer

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

Question 4

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 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

Question 6

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

Accepted Answer

A) True 
 B)False

Question 7

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

Question 8

The opportunity for sampling error is decreased by

Accepted Answer

A) larger sample sizes. 
B) smaller sample sizes. 
C) affluent samples. 
D) interviewer selected samples.

Question 9

The accuracy of the point estimate is measured by its

Accepted Answer

A) standard deviation. 
B) standard error. 
C) sampling error. 
D) nonsampling error.

Question 10

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 11

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

Accepted Answer

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

Question 12

The key to using stratified sampling is

Accepted Answer

A) identifying the strata. 
B) selecting the appropriate strata. 
C) defining the strata. 
D) randomizing the strata.

Question 13

In systematic sampling,one of the first k members is selected randomly,and then every kth member after this one is selected.The value k is called the sampling interval and equals the ratio N / n,where N is the population size and n is the desired sample size.

Accepted Answer

A) True 
 B)False

Question 14

The standard error of an estimate is the standard deviation of the sampling distribution of the estimate.It measures how much estimates from different samples vary.

Accepted Answer

A) True 
 B)False

Question 15

Simple random sampling can result in under-representation or over-representation of certain segments of the population.This is one of several reasons that simple random samples are almost never used in real applications.

Accepted Answer

A) True 
 B)False

Question 16

Sampling error is evident when

Accepted Answer

A) a question is poorly worded and results in bias. 
B) the sample is too small. 
C) the sample is not random. 
D) the sample mean differs from the population mean.

Question 17

Measurement error occurs when

Accepted Answer

A) a portion of the sample does not respond to the survey. 
B) the sample responses are not clear. 
C) the responses to question do not reflect what the investigator had in mind. 
D) the investigator does not correctly tally all responses.

Question 18

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

Exam 7: Sampling and Sampling Distributions

When the sample size is greater than 5% of the population,the formula for the standard error of the mean should be modified with a finite population correction.

Which of the following statements are correct?

The two basic sources for error when using random sampling are _____ error.

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

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

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

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

The opportunity for sampling error is decreased by

The accuracy of the point estimate is measured by its

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.

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

The key to using stratified sampling is

In systematic sampling,one of the first k members is selected randomly,and then every k^th member after this one is selected.The value k is called the sampling interval and equals the ratio N / n,where N is the population size and n is the desired sample size.

The standard error of an estimate is the standard deviation of the sampling distribution of the estimate.It measures how much estimates from different samples vary.

Simple random sampling can result in under-representation or over-representation of certain segments of the population.This is one of several reasons that simple random samples are almost never used in real applications.

Sampling error is evident when

Measurement error occurs when

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