Question 1

A sample distribution_____.

Accepted Answer

A) contains raw scores from a sample 
B) contains sample means 
C) will look roughly normal as long as sample sizes are large enough 
D) a and c only 
E) all of the above 
A) contains raw scores from a sample 
B) contains sample means 
C) will look roughly normal as long as sample sizes are large enough 
D) a and c only 
E) all of the above A

Question 2

A sampling distribution _____.

Accepted Answer

A) contains raw scores from a sample 
B) contains sample means 
C) will look roughly normal as long as sample sizes are large enough 
D) b and c only 
E) all of these 
A) contains raw scores from a sample 
B) contains sample means 
C) will look roughly normal as long as sample sizes are large enough 
D) b and c only 
E) all of these D

Question 3

Technically,the accuracy of a variance estimate is not a function of the degrees of freedom (N - 1),but rather is a function of the sample size (N).

Accepted Answer

A) True 
 B)False  False

Question 4

The statistical phrase "degrees of freedom" denotes ____.

Accepted Answer

A) the number of related pieces of information 
B) the number of independent pieces of information 
A) the number of related pieces of information 
B) the number of independent pieces of information

Question 5

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

Accepted Answer

A) True 
 B)False

Question 6

Even when the shape of the underlying population is skewed,the sampling distribution of the mean approximates a ____________________ when sample sizes are large enough.

Accepted Answer

The answer of Even when the shape of the underlying...

Question 7

The standard error of the mean represents an average deviation of the sample means from the ____________________ mean.

Accepted Answer

The answer of The standard error of the mean represents...

Question 8

In statistical terms,the sample mean is said to be a(n)_____ of the population mean.

Accepted Answer

A) biased estimator 
B) unbiased estimator 
C) standard estimator 
D) underestimate 
A) biased estimator 
B) unbiased estimator 
C) standard estimator 
D) underestimate

Question 9

A sum of squares around a sample mean will always have N - 2 degrees of freedom associated with it.

Accepted Answer

A) True 
 B)False

Question 10

As degrees of freedom for a statistic increase,the more accurate the estimate of the ____________________ value will be.

Accepted Answer

The answer of As degrees of freedom for a statistic...

Question 11

There is a difference sampling distribution for every sample size.

Accepted Answer

A) True 
 B)False

Question 12

The sample variance and standard deviation are biased estimators of the corresponding population values because they ____________________ the population variance and standard deviation.

Accepted Answer

The answer of The sample variance and standard deviation are...

Question 13

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 14

A _____ can be formally defined as a theoretical distribution consisting of the mean scores for all possible random samples of a given size that could be drawn from a population.

Accepted Answer

A) sampling distribution of the mean 
B) sampling distribution of the sample 
C) sampling distribution of the scores 
D) none of these 
A) sampling distribution of the mean 
B) sampling distribution of the sample 
C) sampling distribution of the scores 
D) none of these

Question 15

The standard deviation of a sampling distribution of the mean is called the:

Accepted Answer

A) standard deviation estimate 
B) standard error of the mean 
C) sum of squared errors 
D) none of these 
A) standard deviation estimate 
B) standard error of the mean 
C) sum of squared errors 
D) none of these

Question 16

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 17

Define the standard error of the mean.

Accepted Answer

The standard deviation of a sampling dis

Question 18

According to the central limit theorem,if you selected every possible random sample of size N from some population and computed a mean (  
)for each of these samples,then the average (i.e.,mean)of these sample means will always be ____.

Accepted Answer

A) zero 
B) equal to the population mean 
C) less than the population mean 
D) more than population mean 
A) zero 
B) equal to the population mean 
C) less than the population mean 
D) more than population mean

Question 19

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 mean square (variance estimate)of these scores?

Accepted Answer

MS = SS/df

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 standard deviation estimate for this set of scores?

Accepted Answer

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

A sample distribution_____.

A sampling distribution _____.

Technically,the accuracy of a variance estimate is not a function of the degrees of freedom (N - 1),but rather is a function of the sample size (N).

The statistical phrase "degrees of freedom" denotes ____.

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

Even when the shape of the underlying population is skewed,the sampling distribution of the mean approximates a ____________________ when sample sizes are large enough.

The standard error of the mean represents an average deviation of the sample means from the ____________________ mean.

In statistical terms,the sample mean is said to be a(n)_____ of the population mean.

A sum of squares around a sample mean will always have N - 2 degrees of freedom associated with it.

As degrees of freedom for a statistic increase,the more accurate the estimate of the ____________________ value will be.

There is a difference sampling distribution for every sample size.

The sample variance and standard deviation are biased estimators of the corresponding population values because they ____________________ the population variance and standard deviation.

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 _.

A _____ can be formally defined as a theoretical distribution consisting of the mean scores for all possible random samples of a given size that could be drawn from a population.

The standard deviation of a sampling distribution of the mean is called the:

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.

Define the standard error of the mean.

According to the central limit theorem,if you selected every possible random sample of size N from some population and computed a mean ( )for each of these samples,then the average (i.e.,mean)of these sample means will always be ____.

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 mean square (variance estimate)of these scores?

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?

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

A sample distribution_____.

A sampling distribution _____.

Technically,the accuracy of a variance estimate is not a function of the degrees of freedom (N - 1),but rather is a function of the sample size (N).

The statistical phrase "degrees of freedom" denotes ____.

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

Even when the shape of the underlying population is skewed,the sampling distribution of the mean approximates a ____________________ when sample sizes are large enough.

The standard error of the mean represents an average deviation of the sample means from the ____________________ mean.

In statistical terms,the sample mean is said to be a(n)_____ of the population mean.

A sum of squares around a sample mean will always have N - 2 degrees of freedom associated with it.

As degrees of freedom for a statistic increase,the more accurate the estimate of the ____________________ value will be.

There is a difference sampling distribution for every sample size.

The sample variance and standard deviation are biased estimators of the corresponding population values because they ____________________ the population variance and standard deviation.

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 _____.

A _____ can be formally defined as a theoretical distribution consisting of the mean scores for all possible random samples of a given size that could be drawn from a population.

The standard deviation of a sampling distribution of the mean is called the:

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.

Define the standard error of the mean.

According to the central limit theorem,if you selected every possible random sample of size N from some population and computed a mean ( )for each of these samples,then the average (i.e.,mean)of these sample means will always be ____.

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 mean square (variance estimate)of these scores?

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?

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

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.