Question 1

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 2

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 3

Estimating population parameters can be accomplished with reference to _____ populations.

Accepted Answer

A) small 
B) large 
C) infinite 
D) all of these 
A) small 
B) large 
C) infinite 
D) all of these

Question 4

If you selected every possible random sample of size N from some population,then the average (i.e.,mean)of the sample means will be ____.

Accepted Answer

A) zero 
B) equal to ì 
C) less than ì 
D) more than ì 
A) zero 
B) equal to ì 
C) less than ì 
D) more than ì

Question 5

The sample variance _____ the population variance across all possible samples of a given size.

Accepted Answer

A) underestimates 
B) overestimates 
C) equals 
D) will either over- or underestimate (depending on the sample size. 
A) underestimates 
B) overestimates 
C) equals 
D) will either over- or underestimate (depending on the sample size.

Question 6

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 7

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

Question 8

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a mean standard deviation.

Accepted Answer

A) True 
 B)False

Question 9

If a researcher is interested in having a group of 100 people complete a survey and she plans to calculate a variance estimate and standard deviation estimate for that group,how can she increase her degrees of freedom before she does her calculations?

Accepted Answer

A) Do not use a correction in the denominator of the variance calculation. 
B) Have more than 100 people complete the survey. 
C) Reduce variability of the sample by collecting information from a homogeneous group. 
D) Include a mean square calculation for the standard deviation estimate. 
A) Do not use a correction in the denominator of the variance calculation. 
B) Have more than 100 people complete the survey. 
C) Reduce variability of the sample by collecting information from a homogeneous group. 
D) Include a mean square calculation for the standard deviation estimate.

Question 10

Other things being equal,as the sample size becomes larger,the standard error of the mean

Accepted Answer

A) becomes smaller. 
B) becomes larger. 
C) stays the same. 
D) sometimes becomes smaller,sometimes becomes larger. 
A) becomes smaller. 
B) becomes larger. 
C) stays the same. 
D) sometimes becomes smaller,sometimes becomes larger.

Question 11

Since we rarely know the population standard deviation,we must estimate this value by calculating a statistic called the ____________________.

Accepted Answer

estimated

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

Perspectives on the mean and standard deviation of a sampling distribution of the mean,as well as its shape,are derived from an important formulation called the:

Accepted Answer

A) central tendency theorem 
B) central distribution theorem 
C) central limit theorem 
D) central estimate theorem 
A) central tendency theorem 
B) central distribution theorem 
C) central limit theorem 
D) central estimate theorem

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

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a:

Accepted Answer

A) variance estimate 
B) standard deviation estimate 
C) mean square 
D) a and c 
A) variance estimate 
B) standard deviation estimate 
C) mean square 
D) a and c

Question 16

The symbol s represents

Accepted Answer

A) the sample standard deviation. 
B) the variance estimate. 
C) the population standard deviation. 
D) the standard deviation estimate. 
A) the sample standard deviation. 
B) the variance estimate. 
C) the population standard deviation. 
D) the standard deviation estimate.

Question 17

A sampling distribution of the mean is 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) True 
 B)False

Question 18

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 19

Given: ì = 3.5,ó = 2.09.Calculate ó for sample size of 16.

Accepted Answer

A) 7.656 
B) .131 
C) .5225 
D) .539 
A) 7.656 
B) .131 
C) .5225 
D) .539

Question 20

In statistics,the phrase _____ is used to indicate the number of pieces of information that are "free of each other" in the sense that they cannot be deduced from one another.

Accepted Answer

A) degrees of freedom 
B) degrees of deduction 
C) degrees of independence 
D) degrees of information 
A) degrees of freedom 
B) degrees of deduction 
C) degrees of independence 
D) degrees of information

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

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

Estimating population parameters can be accomplished with reference to _____ populations.

If you selected every possible random sample of size N from some population,then the average (i.e.,mean)of the sample means will be ____.

The sample variance _____ the population variance across all possible samples of a given size.

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?

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

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a mean standard deviation.

If a researcher is interested in having a group of 100 people complete a survey and she plans to calculate a variance estimate and standard deviation estimate for that group,how can she increase her degrees of freedom before she does her calculations?

Other things being equal,as the sample size becomes larger,the standard error of the mean

Since we rarely know the population standard deviation,we must estimate this value by calculating a statistic called the ____________________.

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

Perspectives on the mean and standard deviation of a sampling distribution of the mean,as well as its shape,are derived from an important formulation called the:

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

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a:

The symbol s represents

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

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

Given: ì = 3.5,ó = 2.09.Calculate ó for sample size of 16.

In statistics,the phrase _____ is used to indicate the number of pieces of information that are "free of each other" in the sense that they cannot be deduced from one another.

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

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

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

Estimating population parameters can be accomplished with reference to _____ populations.

If you selected every possible random sample of size N from some population,then the average (i.e.,mean)of the sample means will be ____.

The sample variance _____ the population variance across all possible samples of a given size.

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?

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

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a mean standard deviation.

If a researcher is interested in having a group of 100 people complete a survey and she plans to calculate a variance estimate and standard deviation estimate for that group,how can she increase her degrees of freedom before she does her calculations?

Other things being equal,as the sample size becomes larger,the standard error of the mean

Since we rarely know the population standard deviation,we must estimate this value by calculating a statistic called the ____________________.

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

Perspectives on the mean and standard deviation of a sampling distribution of the mean,as well as its shape,are derived from an important formulation called the:

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

Irrespective of its specific computation,any sum of squares divided by its associated degrees of freedom is referred to as a:

The symbol s represents

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

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

Given: ì = 3.5,ó = 2.09.Calculate ó for sample size of 16.

In statistics,the phrase _____ is used to indicate the number of pieces of information that are "free of each other" in the sense that they cannot be deduced from one another.

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

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