Exam 7: Sampling and Sampling Distributions

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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.

(True/False)

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Question 61

Which of the following statements are correct?

(Multiple Choice)

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Question 62

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

(Multiple Choice)

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Question 63

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

(True/False)

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Question 64

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

(Multiple Choice)

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Question 65

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

(True/False)

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Question 66

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

(Multiple Choice)

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Question 67

The opportunity for sampling error is decreased by

(Multiple Choice)

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Question 68

The accuracy of the point estimate is measured by its

(Multiple Choice)

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Question 69

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.

(True/False)

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Question 70

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

(Multiple Choice)

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Question 71

The key to using stratified sampling is

(Multiple Choice)

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Question 72

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.

(True/False)

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Question 73

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.

(True/False)

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Question 74

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.

(True/False)

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Question 75

Sampling error is evident when

(Multiple Choice)

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Question 76

Measurement error occurs when

(Multiple Choice)

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Question 77

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

(True/False)

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Question 78

Showing 61 - 78 of 78

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.

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability 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

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

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 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.

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.

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability 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

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

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.