Question 1

The sample variance overestimates (is larger than)the population variance across all possible samples of a given size.

Accepted Answer

A) True 
 B)False

Question 2

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

Accepted Answer

A)    
B) s2 
A)    
B) s2

Question 3

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 4

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 5

The fact that a sample statistic may not equal the value of its corresponding population parameter is said to be the result of:

Accepted Answer

A) sampling error 
B) systematic error 
C) random error 
D) parametric error 
A) sampling error 
B) systematic error 
C) random error 
D) parametric error

Question 6

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...

Question 7

The statistics used in most behavioral science disciplines are not applicable to extremely large populations.

Accepted Answer

A) True 
 B)False

Question 8

In the absence of any other information,the sample mean that one observes is one's "best estimate" of the value of the population mean.

Accepted Answer

A) True 
 B)False

Question 9

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 10

Statisticians have determined that the sample variance is an unbiased estimator of the population variance.

Accepted Answer

A) True 
 B)False

Question 11

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 12

As the sample size increases,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 13

Which of the following formulas for the mean would be used if a researcher is only interested in describing a sample without making inferences to a population?

Accepted Answer

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

Question 14

If a statistic is an unbiased estimator,then it will always equal the value of the population parameter for any given sample.

Accepted Answer

A) True 
 B)False

Question 15

You ask a random sample of 75 people to complete a measure of verbal ability,and you want to estimate the variance in the population.How many degrees of freedom do you have for this variance estimate?

Accepted Answer

A) 73 
B) 74 
C) 75 
D) unlimited 
A) 73 
B) 74 
C) 75 
D) unlimited

Question 16

What would the central limit theorem tell us about the shape of the sampling distribution of the mean for the survey in question 12 (above.regarding students perceptions of alcohol use?

Accepted Answer

A) it will look roughly "normal" and bell-shaped as long as the sample size from which it is developed is large enough. 
B) If the population distribution is skewed then the sampling distribution of the mean will also be skewed. 
C) It will always be bell-shaped,even when derived from a very small sample size. 
A) it will look roughly "normal" and bell-shaped as long as the sample size from which it is developed is large enough. 
B) If the population distribution is skewed then the sampling distribution of the mean will also be skewed. 
C) It will always be bell-shaped,even when derived from a very small sample size.

Question 17

By far the most common occurrence in the behavioral sciences involves the estimation of population parameters from sample data.

Accepted Answer

A) True 
 B)False

Question 18

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 19

Which of the following is an unbiased estimator of the population variance:

Accepted Answer

A) SS/N 
B) SS/N - 1 
C) (SS - 1)/N 
D) Ó(  
- ì) 
A) SS/N 
B) SS/N - 1 
C) (SS - 1)/N 
D) Ó(  
- ì)

Question 20

The variance estimate is an example of a

Accepted Answer

A) degree of freedom. 
B) mean square. 
C) sampling distribution of the variance. 
D) population parameter. 
A) degree of freedom. 
B) mean square. 
C) sampling distribution of the variance. 
D) population parameter.

The sample variance overestimates (is larger than)the population variance across all possible samples of a given size.

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

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.

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 ____.

The fact that a sample statistic may not equal the value of its corresponding population parameter is said to be the result of:

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?

The statistics used in most behavioral science disciplines are not applicable to extremely large populations.

In the absence of any other information,the sample mean that one observes is one's "best estimate" of the value of the population mean.

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.

Statisticians have determined that the sample variance is an unbiased estimator of the population variance.

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

As the sample size increases,the standard error of the mean _____,other things being equal.

Which of the following formulas for the mean would be used if a researcher is only interested in describing a sample without making inferences to a population?

If a statistic is an unbiased estimator,then it will always equal the value of the population parameter for any given sample.

You ask a random sample of 75 people to complete a measure of verbal ability,and you want to estimate the variance in the population.How many degrees of freedom do you have for this variance estimate?

What would the central limit theorem tell us about the shape of the sampling distribution of the mean for the survey in question 12 (above.regarding students perceptions of alcohol use?

By far the most common occurrence in the behavioral sciences involves the estimation of population parameters from sample data.

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

Which of the following is an unbiased estimator of the population variance:

The variance estimate is an example of a

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 overestimates (is larger than)the population variance across all possible samples of a given size.

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

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.

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 ____.

The fact that a sample statistic may not equal the value of its corresponding population parameter is said to be the result of:

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?

The statistics used in most behavioral science disciplines are not applicable to extremely large populations.

In the absence of any other information,the sample mean that one observes is one's "best estimate" of the value of the population mean.

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.

Statisticians have determined that the sample variance is an unbiased estimator of the population variance.

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

As the sample size increases,the standard error of the mean _____,other things being equal.

Which of the following formulas for the mean would be used if a researcher is only interested in describing a sample without making inferences to a population?

If a statistic is an unbiased estimator,then it will always equal the value of the population parameter for any given sample.

You ask a random sample of 75 people to complete a measure of verbal ability,and you want to estimate the variance in the population.How many degrees of freedom do you have for this variance estimate?

What would the central limit theorem tell us about the shape of the sampling distribution of the mean for the survey in question 12 (above.regarding students perceptions of alcohol use?

By far the most common occurrence in the behavioral sciences involves the estimation of population parameters from sample data.

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

Which of the following is an unbiased estimator of the population variance:

The variance estimate is an example of a

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