Question 1

The amount of sampling error can be represented as the difference between the value of a _____ and the value of the corresponding _____.

Accepted Answer

A) standard deviation;variance 
B) sample statistic;population parameter 
C) sample;population 
D) mean;standard deviation 
A) standard deviation;variance 
B) sample statistic;population parameter 
C) sample;population 
D) mean;standard deviation

Question 2

Calculate the unbiased estimate of the population variance using the following sample data: 2,3,4,5,5.

Accepted Answer

A) 1.360 
B) 1.304 
C) 1.166 
D) 1.700 
A) 1.360 
B) 1.304 
C) 1.166 
D) 1.700

Question 3

An unbiased estimator of the population variance can be obtained from sample data by dividing the sum of squares by:

Accepted Answer

A) N 
B) N - 1 
C) N - 2 
D) none of these 
A) N 
B) N - 1 
C) N - 2 
D) none of these

Question 4

One result of the central limit theorem is that the _____ of a sampling distribution of the mean is always equal to the _____.

Accepted Answer

A) mean;sample mean 
B) standard error;population variance 
C) standard error;population mean 
D) mean;population mean 
A) mean;sample mean 
B) standard error;population variance 
C) standard error;population mean 
D) mean;population mean

Question 5

Explain what the phrase "degrees of freedom" refers to and discuss how it relates to the accuracy of an estimate.

Accepted Answer

In statistics,the phrase "degrees of fre

Question 6

What is the central limit theorem?

Accepted Answer

Perspectives on the mean and standard de

Question 7

A sum of squares around a sample mean will always have _____ degrees of freedom associated with it.

Accepted Answer

A) several 
B) N 
C) 2 
D) N - 1 
A) several 
B) N 
C) 2 
D) N - 1

Question 8

The symbols for the sample variance and population variance are ____ and ____,respectively.

Accepted Answer

A) ó;ó2 
B) s2;s2 
C) ó;s2 
D) s2;ó2 
A) ó;ó2 
B) s2;s2 
C) ó;s2 
D) s2;ó2

Question 9

If you were interested in obtaining a random sample of all adults in the United States,it would be useful and feasible to get a list of all adults living in the United States.

Accepted Answer

A) True 
 B)False

Question 10

As the variability of scores in the population decreases,the standard error of the mean _____,other things being equal.

Accepted Answer

A) remains constant 
B) fluctuates 
C) increases 
D) decreases 
A) remains constant 
B) fluctuates 
C) increases 
D) decreases

Question 11

An unbiased estimator of a population parameter is one whose average (mean)over all possible random samples of a given size equals the value of the parameter.

Accepted Answer

A) True 
 B)False

Question 12

According to the central limit theorem,the sampling distribution of the mean approximates a _____ distribution as the sample size _____.

Accepted Answer

A) normal;becomes smaller 
B) skewed;becomes smaller 
C) normal;approaches infinity 
D) skewed;approaches infinity 
E) none of these 
A) normal;becomes smaller 
B) skewed;becomes smaller 
C) normal;approaches infinity 
D) skewed;approaches infinity 
E) none of these

Question 13

In the absence of any other information,the sample mean that one observes is _____ of the value of the population mean.

Accepted Answer

A) a biased estimator 
B) an underestimation 
C) a conservative estimate 
D) one's "best guess" 
A) a biased estimator 
B) an underestimation 
C) a conservative estimate 
D) one's "best guess"

Question 14

The term "sampling error" reflects the fact that sample values are likely to differ from population values because:

Accepted Answer

A) mistakes have been made in the collection and analysis of the data 
B) they are based on only a portion of the overall population 
C) bias has contaminated the variance estimates 
D) all of these 
A) mistakes have been made in the collection and analysis of the data 
B) they are based on only a portion of the overall population 
C) bias has contaminated the variance estimates 
D) all of these

Question 15

Which of the following formulas for the variance would be used if a researcher is interested in inferring what the population value would be?

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 16

There is a different sampling distribution of the mean for every sample size.

Accepted Answer

A) True 
 B)False

Question 17

Which of the following values is the best estimate of the population mean using the following sample data: 4,4,4,5,5?

Accepted Answer

A) 4.40 
B) 4.4/N - 1 
C) 3.5 
D) 22/N - 1 
A) 4.40 
B) 4.4/N - 1 
C) 3.5 
D) 22/N - 1

Question 18

The standard deviation of a sampling distribution of the mean is called the standard error of the mean.

Accepted Answer

A) True 
 B)False

Question 19

In most behavior science research a goal is to describe very large groups of people.This would be considered a(n)_____.

Accepted Answer

A) infinite population 
B) finite population 
C) unbiased estimate of the population 
D) biased estimate of the population 
A) infinite population 
B) finite population 
C) unbiased estimate of the population 
D) biased estimate of the population

Question 20

You ask 5 people to indicate the extent to which they agree or disagree with a statement regarding the legalization of marijuana.You get the following set of scores: 2,3,4,5,5.What is the estimated standard error of the mean for this set of scores?

Accepted Answer

The answer of You ask 5 people to indicate the...

The amount of sampling error can be represented as the difference between the value of a _ and the value of the corresponding _.

Calculate the unbiased estimate of the population variance using the following sample data: 2,3,4,5,5.

An unbiased estimator of the population variance can be obtained from sample data by dividing the sum of squares by:

One result of the central limit theorem is that the _ of a sampling distribution of the mean is always equal to the _.

Explain what the phrase "degrees of freedom" refers to and discuss how it relates to the accuracy of an estimate.

What is the central limit theorem?

A sum of squares around a sample mean will always have _____ degrees of freedom associated with it.

The symbols for the sample variance and population variance are and ,respectively.

If you were interested in obtaining a random sample of all adults in the United States,it would be useful and feasible to get a list of all adults living in the United States.

As the variability of scores in the population decreases,the standard error of the mean _____,other things being equal.

An unbiased estimator of a population parameter is one whose average (mean)over all possible random samples of a given size equals the value of the parameter.

According to the central limit theorem,the sampling distribution of the mean approximates a _ distribution as the sample size _.

In the absence of any other information,the sample mean that one observes is _____ of the value of the population mean.

The term "sampling error" reflects the fact that sample values are likely to differ from population values because:

Which of the following formulas for the variance would be used if a researcher is interested in inferring what the population value would be?

There is a different sampling distribution of the mean for every sample size.

Which of the following values is the best estimate of the population mean using the following sample data: 4,4,4,5,5?

The standard deviation of a sampling distribution of the mean is called the standard error of the mean.

In most behavior science research a goal is to describe very large groups of people.This would be considered a(n)_____.

You ask 5 people to indicate the extent to which they agree or disagree with a statement regarding the legalization of marijuana.You get the following set of scores: 2,3,4,5,5.What is the estimated standard error of the mean for this set of scores?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Probability

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 7: Estimation and Sampling Distributions

The amount of sampling error can be represented as the difference between the value of a _____ and the value of the corresponding _____.

Calculate the unbiased estimate of the population variance using the following sample data: 2,3,4,5,5.

An unbiased estimator of the population variance can be obtained from sample data by dividing the sum of squares by:

One result of the central limit theorem is that the _____ of a sampling distribution of the mean is always equal to the _____.

Explain what the phrase "degrees of freedom" refers to and discuss how it relates to the accuracy of an estimate.

What is the central limit theorem?

A sum of squares around a sample mean will always have _____ degrees of freedom associated with it.

The symbols for the sample variance and population variance are ____ and ____,respectively.

If you were interested in obtaining a random sample of all adults in the United States,it would be useful and feasible to get a list of all adults living in the United States.

As the variability of scores in the population decreases,the standard error of the mean _____,other things being equal.

An unbiased estimator of a population parameter is one whose average (mean)over all possible random samples of a given size equals the value of the parameter.

According to the central limit theorem,the sampling distribution of the mean approximates a _____ distribution as the sample size _____.

In the absence of any other information,the sample mean that one observes is _____ of the value of the population mean.

The term "sampling error" reflects the fact that sample values are likely to differ from population values because:

Which of the following formulas for the variance would be used if a researcher is interested in inferring what the population value would be?

There is a different sampling distribution of the mean for every sample size.

Which of the following values is the best estimate of the population mean using the following sample data: 4,4,4,5,5?

The standard deviation of a sampling distribution of the mean is called the standard error of the mean.

In most behavior science research a goal is to describe very large groups of people.This would be considered a(n)_____.

You ask 5 people to indicate the extent to which they agree or disagree with a statement regarding the legalization of marijuana.You get the following set of scores: 2,3,4,5,5.What is the estimated standard error of the mean for this set of scores?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Probability

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

The amount of sampling error can be represented as the difference between the value of a _ and the value of the corresponding _.

One result of the central limit theorem is that the _ of a sampling distribution of the mean is always equal to the _.

The symbols for the sample variance and population variance are and ,respectively.

According to the central limit theorem,the sampling distribution of the mean approximates a _ distribution as the sample size _.