Question 1

The sample variance _____ the population variance across all possible samples of a given size.

Accepted Answer

A) underestimates 
B) overestimates 
C) equals 
D) will either over- or underestimate (depending on the sample size. 
A) underestimates 
B) overestimates 
C) equals 
D) will either over- or underestimate (depending on the sample size.

Question 2

What is a sampling distribution of the mean?

Accepted Answer

A sampling distribution of the

Question 3

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 4

If the population mean is known to be 15,what would you conclude if you calculated a sample mean from this population to be 13?

Accepted Answer

A) an error has been made in calculating the sample mean 
B) an error has been made in calculating the standard error of the mean 
C) the sample mean is not representative of the population mean 
A) an error has been made in calculating the sample mean 
B) an error has been made in calculating the standard error of the mean 
C) the sample mean is not representative of the population mean

Question 5

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 6

The amount of sampling error is almost always small.

Accepted Answer

A) True 
 B)False

Question 7

The term "sampling error" reflects the fact that sample values are likely to differ from population values because they are based on only a portion of the overall population.

Accepted Answer

A) True 
 B)False

Question 8

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 9

Other things being equal,as the sample size becomes larger,the standard error of the mean

Accepted Answer

A) becomes smaller. 
B) becomes larger. 
C) stays the same. 
D) sometimes becomes smaller,sometimes becomes larger. 
A) becomes smaller. 
B) becomes larger. 
C) stays the same. 
D) sometimes becomes smaller,sometimes becomes larger.

Question 10

The standard error of the mean reflects the accuracy with which sample means estimate a population mean.

Accepted Answer

A) True 
 B)False

Question 11

An implication of the central limit theorem is that the sampling distribution of the mean can be approximated by a _____ distribution when the sample size is sufficiently _____.

Accepted Answer

A) normal;large 
B) normal;small 
C) binomial;small 
D) binomial;large 
A) normal;large 
B) normal;small 
C) binomial;small 
D) binomial;large

Question 12

The standard error of the mean gets smaller as the sample size decreases.

Accepted Answer

A) True 
 B)False

Question 13

The "correction" of subtracting 1 from N in the denominator makes the variance estimate _____ than the sample variance,and hence the variance estimate will be _____ the true population variance than the sample variance,on average.

Accepted Answer

A) smaller;closer to 
B) larger;closer to 
C) smaller;farther from 
D) larger;farther from 
A) smaller;closer to 
B) larger;closer to 
C) smaller;farther from 
D) larger;farther from

Question 14

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 standard deviation estimate for this set of scores?

Accepted Answer

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

Question 15

In general,as the degrees of freedom associated with an estimate increase,the accuracy of the estimate also tends to increase.

Accepted Answer

A) True 
 B)False

Question 16

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a:

Accepted Answer

A) variance estimate 
B) standard deviation estimate 
C) mean square 
D) a and c 
A) variance estimate 
B) standard deviation estimate 
C) mean square 
D) a and c

Question 17

The sampling distribution of the mean can be approximated with a normal distribution given a sufficiently large sample size,regardless of the shape of the:

Accepted Answer

A) underlying population 
B) underlying sample 
C) normal distribution 
D) sampling distribution 
A) underlying population 
B) underlying sample 
C) normal distribution 
D) sampling distribution

Question 18

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 population estimate of the mean for this set of scores?

Accepted Answer

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

Question 19

If the population standard deviation is 15,and the sample size is 500,what is the standard error of the mean?

Accepted Answer

A) 0.03 
B) 0.67 
C) 33.33 
A) 0.03 
B) 0.67 
C) 33.33

Question 20

If you selected every possible random sample of size N from some population,then the average (i.e.,mean)of the sample means will be ____.

Accepted Answer

A) zero 
B) equal to ì 
C) less than ì 
D) more than ì 
A) zero 
B) equal to ì 
C) less than ì 
D) more than ì

The sample variance _____ the population variance across all possible samples of a given size.

What is a sampling distribution of the mean?

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

If the population mean is known to be 15,what would you conclude if you calculated a sample mean from this population to be 13?

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

The amount of sampling error is almost always small.

The term "sampling error" reflects the fact that sample values are likely to differ from population values because they are based on only a portion of the overall population.

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

Other things being equal,as the sample size becomes larger,the standard error of the mean

The standard error of the mean reflects the accuracy with which sample means estimate a population mean.

An implication of the central limit theorem is that the sampling distribution of the mean can be approximated by a _ distribution when the sample size is sufficiently _.

The standard error of the mean gets smaller as the sample size decreases.

The "correction" of subtracting 1 from N in the denominator makes the variance estimate _ than the sample variance,and hence the variance estimate will be _ the true population variance than the sample variance,on average.

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 standard deviation estimate for this set of scores?

In general,as the degrees of freedom associated with an estimate increase,the accuracy of the estimate also tends to increase.

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a:

The sampling distribution of the mean can be approximated with a normal distribution given a sufficiently large sample size,regardless of the shape of the:

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 population estimate of the mean for this set of scores?

If the population standard deviation is 15,and the sample size is 500,what is the standard error of the mean?

If you selected every possible random sample of size N from some population,then the average (i.e.,mean)of the sample means will be ____.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Hypothesis Testing: Inferences About a Single Mean

Probability

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 sample variance _____ the population variance across all possible samples of a given size.

What is a sampling distribution of the mean?

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

If the population mean is known to be 15,what would you conclude if you calculated a sample mean from this population to be 13?

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

The amount of sampling error is almost always small.

The term "sampling error" reflects the fact that sample values are likely to differ from population values because they are based on only a portion of the overall population.

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

Other things being equal,as the sample size becomes larger,the standard error of the mean

The standard error of the mean reflects the accuracy with which sample means estimate a population mean.

An implication of the central limit theorem is that the sampling distribution of the mean can be approximated by a _____ distribution when the sample size is sufficiently _____.

The standard error of the mean gets smaller as the sample size decreases.

The "correction" of subtracting 1 from N in the denominator makes the variance estimate _____ than the sample variance,and hence the variance estimate will be _____ the true population variance than the sample variance,on average.

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 standard deviation estimate for this set of scores?

In general,as the degrees of freedom associated with an estimate increase,the accuracy of the estimate also tends to increase.

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a:

The sampling distribution of the mean can be approximated with a normal distribution given a sufficiently large sample size,regardless of the shape of the:

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 population estimate of the mean for this set of scores?

If the population standard deviation is 15,and the sample size is 500,what is the standard error of the mean?

If you selected every possible random sample of size N from some population,then the average (i.e.,mean)of the sample means will be ____.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Hypothesis Testing: Inferences About a Single Mean

Probability

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

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

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

An implication of the central limit theorem is that the sampling distribution of the mean can be approximated by a _ distribution when the sample size is sufficiently _.

The "correction" of subtracting 1 from N in the denominator makes the variance estimate _ than the sample variance,and hence the variance estimate will be _ the true population variance than the sample variance,on average.