Question 1

Two factors influence the size of the standard error of the mean: the _____ and the _____.

Accepted Answer

A) sample standard deviation;sample variance 
B) population size;variability of scores in the population 
C) sample size;variability of scores in the population 
D) sum of squares;error variance 
A) sample standard deviation;sample variance 
B) population size;variability of scores in the population 
C) sample size;variability of scores in the population 
D) sum of squares;error variance

Question 2

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 3

The standard deviation of a sampling distribution of the mean is called the ____________________.

Accepted Answer

standard e

Question 4

If you were to select a sample size that included the entire set of population scores,then the standard deviation of the sampling distribution based on that N would always equal ____.

Accepted Answer

A) 1.00 
B) ó 
C) 0 
D) ó2 
A) 1.00 
B) ó 
C) 0 
D) ó2

Question 5

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 6

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 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

The formula for calculating the standard deviation of a sampling distribution of the mean is ____.

Accepted Answer

A) SS/N - 1 
B) ó2/N 
C) ó/   
D) ó2/   
A) SS/N - 1 
B) ó2/N 
C) ó/   
D) ó2/

Question 9

The more people that are in the sample,the higher the degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 10

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 11

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

Accepted Answer

A) True 
 B)False

Question 12

A sample statistic may differ from the value of its corresponding population parameter because of ____________________.

Accepted Answer

The answer of A sample statistic may differ from the...

Question 13

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 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

In general,estimation of a population parameter becomes more accurate as ____.

Accepted Answer

A) df of the sample increases 
B) df of the sample decreases 
C) population size increases 
D) none of these 
A) df of the sample increases 
B) df of the sample decreases 
C) population size increases 
D) none of these

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 central limit theorem states that a sampling distribution of the mean for a population will approximate that of a normal distribution as ____.

Accepted Answer

A) the shape of the distribution becomes more bell-shaped 
B) sample size increases 
C) sample size decreases 
D) skewness decreases 
A) the shape of the distribution becomes more bell-shaped 
B) sample size increases 
C) sample size decreases 
D) skewness decreases

Question 18

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 19

In what sense are behavioral scientists concerned with infinite sized populations?

Accepted Answer

Behavioral science research is typically

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.

Two factors influence the size of the standard error of the mean: the _ and the _.

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

The standard deviation of a sampling distribution of the mean is called the ____________________.

If you were to select a sample size that included the entire set of population scores,then the standard deviation of the sampling distribution based on that N would always equal ____.

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.

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 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.

The formula for calculating the standard deviation of a sampling distribution of the mean is ____.

The more people that are in the sample,the higher the degrees of freedom.

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?

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

A sample statistic may differ from the value of its corresponding population parameter because of ____________________.

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

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

In general,estimation of a population parameter becomes more accurate as ____.

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

The central limit theorem states that a sampling distribution of the mean for a population will approximate that of a normal distribution as ____.

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

In what sense are behavioral scientists concerned with infinite sized populations?

The variance estimate is an example of a

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

Two factors influence the size of the standard error of the mean: the _____ and the _____.

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

The standard deviation of a sampling distribution of the mean is called the ____________________.

If you were to select a sample size that included the entire set of population scores,then the standard deviation of the sampling distribution based on that N would always equal ____.

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.

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 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.

The formula for calculating the standard deviation of a sampling distribution of the mean is ____.

The more people that are in the sample,the higher the degrees of freedom.

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?

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

A sample statistic may differ from the value of its corresponding population parameter because of ____________________.

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

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

In general,estimation of a population parameter becomes more accurate as ____.

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

The central limit theorem states that a sampling distribution of the mean for a population will approximate that of a normal distribution as ____.

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

In what sense are behavioral scientists concerned with infinite sized populations?

The variance estimate is an example of a

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

Two factors influence the size of the standard error of the mean: the _ and the _.

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.