Question 1

The mean of the sampling distribution of the mean is always equal to

Accepted Answer

A) the population mean. 
B) the population mean minus one. 
C) the population mean minus the sampling error. 
D) the population mean plus the sampling error. 
A) the population mean. 
B) the population mean minus one. 
C) the population mean minus the sampling error. 
D) the population mean plus the sampling error.

Question 2

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 3

When the degrees of freedom are greater than 40,the normal approximation of the sampling distribution of the mean is quite good.

Accepted Answer

A) True 
 B)False

Question 4

200 students scored a mean of 500 with a sum of squares of 1000 on the SAT-Verbal test.What is variance estimate?

Accepted Answer

A) 2.242 
B) 2.236 
C) 5.000 
D) 5.025 
A) 2.242 
B) 2.236 
C) 5.000 
D) 5.025

Question 5

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 6

For the following scores,what is the estimated standard error of the mean: 3,4,5,6,6,6,7,8,9

Accepted Answer

A) .62 
B) .21 
C) .59 
D) .20 
A) .62 
B) .21 
C) .59 
D) .20

Question 7

Which of the following statistics can we use to create sampling distributions?

Accepted Answer

A) mean 
B) median 
C) variance 
D) all of these 
A) mean 
B) median 
C) variance 
D) all of these

Question 8

An unbiased estimator of the population variance cannot be obtained from sample data.

Accepted Answer

A) True 
 B)False

Question 9

Sampling from a finite population _____ is analogous to sampling from an infinite population _____.

Accepted Answer

A) with replacement;with replacement 
B) without replacement;with replacement 
C) with replacement;without replacement 
D) without replacement;without replacement 
A) with replacement;with replacement 
B) without replacement;with replacement 
C) with replacement;without replacement 
D) without replacement;without replacement

Question 10

The difference between the sample variance and the variance estimate is that the variance estimate _____:

Accepted Answer

A) underestimates the population variance 
B) is computed with N-1 in the denominator 
C) is computed with the degrees of freedom in the denominator 
D) both b and c 
A) underestimates the population variance 
B) is computed with N-1 in the denominator 
C) is computed with the degrees of freedom in the denominator 
D) both b and c

Question 11

Given the same population,the sampling distribution of the mean will show _____ than either the sampling distribution of the median or the sampling distribution of the mode.

Accepted Answer

A) greater accuracy 
B) greater variability 
C) less accuracy 
D) less variability 
A) greater accuracy 
B) greater variability 
C) less accuracy 
D) less variability

Question 12

Given the same population,the sampling distribution of the mean will show less variability than either the sampling distribution of the median or the sampling distribution of the mode.

Accepted Answer

A) True 
 B)False

Question 13

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 14

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

Accepted Answer

A) 3.5 
B) 18/N - 1 
C) 3.6 
D) 5.2 
A) 3.5 
B) 18/N - 1 
C) 3.6 
D) 5.2

Question 15

As the degrees of freedom associated with an estimate _____,the accuracy of the estimate tends to _____.

Accepted Answer

A) increase;decrease 
B) decrease;increase 
C) increase;increase 
D) decrease;stay the same 
A) increase;decrease 
B) decrease;increase 
C) increase;increase 
D) decrease;stay the same

Question 16

In the absence of any other information,the ____ is your best guess about the population mean.

Accepted Answer

A) sample mean with N-1 in the denominator 
B) sample mean 
C) sample mean with a correction factor in the numerator 
A) sample mean with N-1 in the denominator 
B) sample mean 
C) sample mean with a correction factor in the numerator

Question 17

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 18

When the sample size is greater than around 40,the normal approximation of the sampling distribution of the mean is:

Accepted Answer

A) biased 
B) quite good 
C) positively skewed 
D) variable 
A) biased 
B) quite good 
C) positively skewed 
D) variable

Question 19

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

Accepted Answer

A) small;equal to 
B) similar;close to 
C) dissimilar;far away from 
D) large;equal to 
A) small;equal to 
B) similar;close to 
C) dissimilar;far away from 
D) large;equal to

Question 20

The variability of a sampling distribution is measured by the ____.

Accepted Answer

A) standard error of the mean 
B) population variance 
C) standard deviation estimate 
D) sample variance estimate 
A) standard error of the mean 
B) population variance 
C) standard deviation estimate 
D) sample variance estimate

The mean of the sampling distribution of the mean is always equal to

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.

When the degrees of freedom are greater than 40,the normal approximation of the sampling distribution of the mean is quite good.

200 students scored a mean of 500 with a sum of squares of 1000 on the SAT-Verbal test.What is variance estimate?

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?

For the following scores,what is the estimated standard error of the mean: 3,4,5,6,6,6,7,8,9

Which of the following statistics can we use to create sampling distributions?

An unbiased estimator of the population variance cannot be obtained from sample data.

Sampling from a finite population _ is analogous to sampling from an infinite population _.

The difference between the sample variance and the variance estimate is that the variance estimate _____:

Given the same population,the sampling distribution of the mean will show _____ than either the sampling distribution of the median or the sampling distribution of the mode.

Given the same population,the sampling distribution of the mean will show less variability than either the sampling distribution of the median or the sampling distribution of the mode.

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.

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

As the degrees of freedom associated with an estimate _,the accuracy of the estimate tends to _.

In the absence of any other information,the ____ is your best guess about the population mean.

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

When the sample size is greater than around 40,the normal approximation of the sampling distribution of the mean is:

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

The variability of a sampling distribution is measured by the ____.

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 mean of the sampling distribution of the mean is always equal to

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.

When the degrees of freedom are greater than 40,the normal approximation of the sampling distribution of the mean is quite good.

200 students scored a mean of 500 with a sum of squares of 1000 on the SAT-Verbal test.What is variance estimate?

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?

For the following scores,what is the estimated standard error of the mean: 3,4,5,6,6,6,7,8,9

Which of the following statistics can we use to create sampling distributions?

An unbiased estimator of the population variance cannot be obtained from sample data.

Sampling from a finite population _____ is analogous to sampling from an infinite population _____.

The difference between the sample variance and the variance estimate is that the variance estimate _____:

Given the same population,the sampling distribution of the mean will show _____ than either the sampling distribution of the median or the sampling distribution of the mode.

Given the same population,the sampling distribution of the mean will show less variability than either the sampling distribution of the median or the sampling distribution of the mode.

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.

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

As the degrees of freedom associated with an estimate _____,the accuracy of the estimate tends to _____.

In the absence of any other information,the ____ is your best guess about the population mean.

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

When the sample size is greater than around 40,the normal approximation of the sampling distribution of the mean is:

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

The variability of a sampling distribution is measured by the ____.

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

Sampling from a finite population _ is analogous to sampling from an infinite population _.

As the degrees of freedom associated with an estimate _,the accuracy of the estimate tends to _.

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