Question 1

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. C

Question 2

A(n)____ of a population parameter is one whose average over all possible random samples of a given size equals the value of the parameter.

Accepted Answer

A) estimator 
B) unbiased estimator 
C) biased estimator 
A) estimator 
B) unbiased estimator 
C) biased estimator B

Question 3

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 B

Question 4

Define the standard error of the mean.

Accepted Answer

The standard deviation of a sampling dis

Question 5

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 parameter.

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 be equal to the population mean.

Accepted Answer

A) True 
 B)False

Question 7

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 8

Even when the shape of the underlying population is skewed,the sampling distribution of the mean approximates a ____________________ when sample sizes are large enough.

Accepted Answer

The answer of Even when the shape of the underlying...

Question 9

What is an unbiased estimator?

Accepted Answer

An unbiased estimator of a population pa

Question 10

Assume you are a researcher for a small university.You have surveyed all 1500 students at the university on the following question,"Within the last 30 days,what percent of students at your school used alcohol? State your best estimate." How would a sampling distribution of the mean with N = 15,be created for the data from this question?

Accepted Answer

A) The population scores would be "standardized," or converted to z-scores,and the distribution of 15 randomly selected standard scores would be our sampling distribution. 
B) Random samples of 15 would be taken from the population,the mean would be calculated in each sample,and the distribution of those means would be our sampling distribution. 
C) A sample would be taken from the population,the mean and standard deviation would be calculated in that sample,and the distribution of raw scores for 15 participants would be our sampling distribution. 
A) The population scores would be "standardized," or converted to z-scores,and the distribution of 15 randomly selected standard scores would be our sampling distribution. 
B) Random samples of 15 would be taken from the population,the mean would be calculated in each sample,and the distribution of those means would be our sampling distribution. 
C) A sample would be taken from the population,the mean and standard deviation would be calculated in that sample,and the distribution of raw scores for 15 participants would be our sampling distribution.

Question 11

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 12

The sample variance,on average,____the true population variance.

Accepted Answer

A) always equals 
B) overestimates 
C) underestimates 
D) none of these 
A) always equals 
B) overestimates 
C) underestimates 
D) none of these

Question 13

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 14

The standard deviation of a sampling distribution of the mean is called the:

Accepted Answer

A) standard deviation estimate 
B) standard error of the mean 
C) sum of squared errors 
D) none of these 
A) standard deviation estimate 
B) standard error of the mean 
C) sum of squared errors 
D) none of these

Question 15

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

Accepted Answer

A) True 
 B)False

Question 16

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 17

In statistics,the phrase degrees of freedom 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) True 
 B)False

Question 18

According to the central limit theorem,if you selected every possible random sample of size N from some population and computed a mean (  
)for each of these samples,then the average (i.e.,mean)of these sample means will always be ____.

Accepted Answer

A) zero 
B) equal to the population mean 
C) less than the population mean 
D) more than population mean 
A) zero 
B) equal to the population mean 
C) less than the population mean 
D) more than population mean

Question 19

In practice,it is possible to compute the exact amount of sampling error that occurs.

Accepted Answer

A) True 
 B)False

Question 20

It is virtually impossible for investigators to select truly random samples from very large populations.

Accepted Answer

A) True 
 B)False

The sampling distribution of the mean contains

A(n)____ of a population parameter is one whose average over all possible random samples of a given size equals the value of the parameter.

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

Define the standard error of the 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 parameter.

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.

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

Even when the shape of the underlying population is skewed,the sampling distribution of the mean approximates a ____________________ when sample sizes are large enough.

What is an unbiased estimator?

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?

The sample variance,on average,____the true population variance.

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

The standard deviation of a sampling distribution of the mean is called the:

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

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

In statistics,the phrase degrees of freedom 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.

According to the central limit theorem,if you selected every possible random sample of size N from some population and computed a mean ( )for each of these samples,then the average (i.e.,mean)of these sample means will always be ____.

In practice,it is possible to compute the exact amount of sampling error that occurs.

It is virtually impossible for investigators to select truly random samples from very large populations.

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 sampling distribution of the mean contains

A(n)____ of a population parameter is one whose average over all possible random samples of a given size equals the value of the parameter.

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

Define the standard error of the 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 parameter.

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.

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

Even when the shape of the underlying population is skewed,the sampling distribution of the mean approximates a ____________________ when sample sizes are large enough.

What is an unbiased estimator?

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?

The sample variance,on average,____the true population variance.

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

The standard deviation of a sampling distribution of the mean is called the:

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

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

In statistics,the phrase degrees of freedom 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.

According to the central limit theorem,if you selected every possible random sample of size N from some population and computed a mean ( )for each of these samples,then the average (i.e.,mean)of these sample means will always be ____.

In practice,it is possible to compute the exact amount of sampling error that occurs.

It is virtually impossible for investigators to select truly random samples from very large populations.

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

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

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