Question 1

Technically,the accuracy of a variance estimate is not a function of the _____,but rather is a function of the _____.

Accepted Answer

A) degrees of freedom;sample size 
B) sample size;degrees of freedom 
C) degrees of freedom;standard error 
D) sample size;population size 
A) degrees of freedom;sample size 
B) sample size;degrees of freedom 
C) degrees of freedom;standard error 
D) sample size;population size

Question 2

The size of the standard error of the mean is influenced by two factors: the sample size and the variability of scores in the population.

Accepted Answer

A) True 
 B)False

Question 3

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 4

It is safe to assume that college students are representative of a random sample of people in general.

Accepted Answer

A) True 
 B)False

Question 5

Researchers can create their own sampling distribution of the mean in order to understand how the sample data they collect compares to the population values.

Accepted Answer

A) True 
 B)False

Question 6

Estimating population parameters is relevant for small,finite populations as well as populations that are so large that for all practical purposes they can be considered infinite.

Accepted Answer

A) True 
 B)False

Question 7

Which of the following is an unbiased estimator of it's corresponding population parameter?

Accepted Answer

A)    
B) s2 
A)    
B) s2

Question 8

The standard error of the mean reflects the accuracy with which _____ estimate a _____.

Accepted Answer

A) sample means;population mean 
B) sample variances;population variance 
C) samples;population 
D) standard deviations;standard error 
A) sample means;population mean 
B) sample variances;population variance 
C) samples;population 
D) standard deviations;standard error

Question 9

Rather than attempt to select all possible random samples from a population,researchers select one sample,and use this sample data to ____________________ the population values.

Accepted Answer

The answer of Rather than attempt to select all possible...

Question 10

To correct for the discrepancy between the sample variance (s2)and the population variance (ó2)we divide SS by _____.

Accepted Answer

A) N - 1 
B) N 
C) N - 2 
D)  $ \sqrt{\mathrm{N}-1} $ 
A) N - 1 
B) N 
C) N - 2 
D)  $ \sqrt{\mathrm{N}-1} $

Question 11

The sampling distribution of the mean contains

Accepted Answer

A) raw scores from all members of the population. 
B) the standard deviations computed from all possible random samples from a population. 
C) the means of all possible random samples of a given size from a population. 
D) a distribution of the standard error of the mean. 
A) raw scores from all members of the population. 
B) the standard deviations computed from all possible random samples from a population. 
C) the means of all possible random samples of a given size from a population. 
D) a distribution of the standard error of the mean.

Question 12

What is a sampling distribution of the mean?

Accepted Answer

A sampling distribution of the

Question 13

The sample variance can be changed so that it becomes an unbiased estimator of the population by changing the calculation so that

Accepted Answer

A) N is in the denominator of the formulA. 
B) the mean square is in the numerator of the formula. 
C) a correction of N-1 is in the denominator of the formula. 
D) a correction of SS-1 is in the numerator of the formula. 
A) N is in the denominator of the formulA. 
B) the mean square is in the numerator of the formula. 
C) a correction of N-1 is in the denominator of the formula. 
D) a correction of SS-1 is in the numerator of the formula.

Question 14

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 15

When attempting to estimate a population parameter from a small sample,____ occurs.

Accepted Answer

A) experimenter bias 
B) distribution error 
C) sampling error 
D) no error 
A) experimenter bias 
B) distribution error 
C) sampling error 
D) no error

Question 16

A theoretical distribution consisting of the mean scores of all possible random samples of a given size that could be drawn from a population is called the ____.

Accepted Answer

A) variance estimate 
B) population 
C) sampling distribution of the mean 
D) the central limit theorem 
A) variance estimate 
B) population 
C) sampling distribution of the mean 
D) the central limit theorem

Question 17

To estimate the standard error of the mean we use___.

Accepted Answer

A) s 
B) s2/   
C) s/   
D) none of these 
A) s 
B) s2/   
C) s/   
D) none of these

Question 18

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 19

If the standard error of the mean is small,then all the sample means based on a given sample size (N)will be equal to the population mean.

Accepted Answer

A) True 
 B)False

Question 20

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:

Accepted Answer

A) sample mean 
B) standard deviation 
C) parameter in question 
D) statistic 
A) sample mean 
B) standard deviation 
C) parameter in question 
D) statistic

Technically,the accuracy of a variance estimate is not a function of the _,but rather is a function of the _.

The size of the standard error of the mean is influenced by two factors: the sample size and the variability of scores in the population.

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?

It is safe to assume that college students are representative of a random sample of people in general.

Researchers can create their own sampling distribution of the mean in order to understand how the sample data they collect compares to the population values.

Estimating population parameters is relevant for small,finite populations as well as populations that are so large that for all practical purposes they can be considered infinite.

Which of the following is an unbiased estimator of it's corresponding population parameter?

The standard error of the mean reflects the accuracy with which _ estimate a _.

Rather than attempt to select all possible random samples from a population,researchers select one sample,and use this sample data to ____________________ the population values.

To correct for the discrepancy between the sample variance (s²)and the population variance (ó²)we divide SS by _____.

The sampling distribution of the mean contains

What is a sampling distribution of the mean?

The sample variance can be changed so that it becomes an unbiased estimator of the population by changing the calculation so that

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

When attempting to estimate a population parameter from a small sample,____ occurs.

A theoretical distribution consisting of the mean scores of all possible random samples of a given size that could be drawn from a population is called the ____.

To estimate the standard error of the mean we use___.

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?

If the standard error of the mean is small,then all the sample means based on a given sample size (N)will be equal to the population mean.

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:

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

Technically,the accuracy of a variance estimate is not a function of the _____,but rather is a function of the _____.

The size of the standard error of the mean is influenced by two factors: the sample size and the variability of scores in the population.

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?

It is safe to assume that college students are representative of a random sample of people in general.

Researchers can create their own sampling distribution of the mean in order to understand how the sample data they collect compares to the population values.

Estimating population parameters is relevant for small,finite populations as well as populations that are so large that for all practical purposes they can be considered infinite.

Which of the following is an unbiased estimator of it's corresponding population parameter?

The standard error of the mean reflects the accuracy with which _____ estimate a _____.

Rather than attempt to select all possible random samples from a population,researchers select one sample,and use this sample data to ____________________ the population values.

To correct for the discrepancy between the sample variance (s2)and the population variance (ó2)we divide SS by _____.

The sampling distribution of the mean contains

What is a sampling distribution of the mean?

The sample variance can be changed so that it becomes an unbiased estimator of the population by changing the calculation so that

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

When attempting to estimate a population parameter from a small sample,____ occurs.

A theoretical distribution consisting of the mean scores of all possible random samples of a given size that could be drawn from a population is called the ____.

To estimate the standard error of the mean we use___.

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?

If the standard error of the mean is small,then all the sample means based on a given sample size (N)will be equal to the population mean.

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:

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

Technically,the accuracy of a variance estimate is not a function of the _,but rather is a function of the _.

The standard error of the mean reflects the accuracy with which _ estimate a _.

To correct for the discrepancy between the sample variance (s²)and the population variance (ó²)we divide SS by _____.