Exam 7: Sampling and Sampling Distributions

The central limit theorem (CLT)says that as long as the sample size is reasonably large,there is about a 95% chance that the magnitude of the sampling error for the mean will be no more than two standard errors.

(True/False)

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Question 41

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

(True/False)

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Question 42

The finite population correction factor is a correction for the standard error when the sample size is fairly large relative to the population size.

(True/False)

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Question 43

Which statement is true of proportional sample sizes?

(Multiple Choice)

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Question 44

A sample chosen in such a way that every possible subset of same size has an equal chance of being selected is called a _____sample.

(Multiple Choice)

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Question 45

The opportunity for nonsampling error is larger when the

(Multiple Choice)

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Question 46

A sample of size 20 is selected at random from a population of size N.If the finite population correction factor is 0.9418,then N must be 169.

(True/False)

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Question 47

Which of the following statements correctly describe estimation?

(Multiple Choice)

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Question 48

An unbiased estimator is a sample statistic

(Multiple Choice)

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Question 49

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

(True/False)

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Question 50

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.

(True/False)

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Question 51

The approximate 95% confidence interval for a population mean is

(Multiple Choice)

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Question 52

In stratified sampling with proportional sample sizes,the proportion of each stratum selected differs from stratum to stratum.

(True/False)

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Question 53

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

(Multiple Choice)

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Question 54

A point estimate is a single numeric value,a "best guess" of a population parameter,calculated from the sample data.

(True/False)

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Question 55

Nontruthful responses is an example of a nonsampling error.

(True/False)

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Question 56

The approximate standard error of the sample mean is calculated as

(Multiple Choice)

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Question 57

The central limit theorem (CLT)is considered to be an important result in statistics because

(Multiple Choice)

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Question 58

Non-truthful response is a particular problem when

(Multiple Choice)

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Question 59

Estimation is the process of inferring the value of an unknown population parameter using data from a random sample drawn from the population.

(True/False)

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Question 60

Showing 41 - 60 of 78

The central limit theorem (CLT)says that as long as the sample size is reasonably large,there is about a 95% chance that the magnitude of the sampling error for the mean will be no more than two standard errors.

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

The finite population correction factor is a correction for the standard error when the sample size is fairly large relative to the population size.

Which statement is true of proportional sample sizes?

A sample chosen in such a way that every possible subset of same size has an equal chance of being selected is called a _____sample.

The opportunity for nonsampling error is larger when the

A sample of size 20 is selected at random from a population of size N.If the finite population correction factor is 0.9418,then N must be 169.

Which of the following statements correctly describe estimation?

An unbiased estimator is a sample statistic

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

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.

The approximate 95% confidence interval for a population mean is

In stratified sampling with proportional sample sizes,the proportion of each stratum selected differs from stratum to stratum.

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

A point estimate is a single numeric value,a "best guess" of a population parameter,calculated from the sample data.

Nontruthful responses is an example of a nonsampling error.

The approximate standard error of the sample mean is calculated as

The central limit theorem (CLT)is considered to be an important result in statistics because

Non-truthful response is a particular problem when

Estimation is the process of inferring the value of an unknown population parameter using data from a random sample drawn from the population.

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

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