Question 1

The sample variance can be changed so that it becomes an unbiased estimator of the population by changing the calculation so that

Accepted Answer

A) N is in the denominator of the formulA. 
B) the mean square is in the numerator of the formula. 
C) a correction of N-1 is in the denominator of the formula. 
D) a correction of SS-1 is in the numerator of the formula. 
A) N is in the denominator of the formulA. 
B) the mean square is in the numerator of the formula. 
C) a correction of N-1 is in the denominator of the formula. 
D) a correction of SS-1 is in the numerator of the formula.

Question 2

It is safe to assume that college students are representative of a random sample of people in general.

Accepted Answer

A) True 
 B)False

Question 3

Technically,the accuracy of a variance estimate is not a function of the degrees of freedom (N - 1),but rather is a function of the sample size (N).

Accepted Answer

A) True 
 B)False

Question 4

A sum of squares around a sample mean will always have _____ degrees of freedom associated with it.

Accepted Answer

A) several 
B) N 
C) 2 
D) N - 1 
A) several 
B) N 
C) 2 
D) N - 1

Question 5

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

Question 6

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 7

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

Accepted Answer

standard e

Question 8

The amount of sampling error can be represented as the difference between the value of a _____ and the value of the corresponding _____.

Accepted Answer

A) standard deviation;variance 
B) sample statistic;population parameter 
C) sample;population 
D) mean;standard deviation 
A) standard deviation;variance 
B) sample statistic;population parameter 
C) sample;population 
D) mean;standard deviation

Question 9

The symbols for the sample variance and population variance are ____ and ____,respectively.

Accepted Answer

A) ó;ó2 
B) s2;s2 
C) ó;s2 
D) s2;ó2 
A) ó;ó2 
B) s2;s2 
C) ó;s2 
D) s2;ó2

Question 10

A third implication of the central limit theorem is that the sampling distribution of the mean can be approximated by a binomial distribution when the sample size is sufficiently large.

Accepted Answer

A) True 
 B)False

Question 11

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

Accepted Answer

A) True 
 B)False

Question 12

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

Accepted Answer

Behavioral science research is typically

Question 13

Statisticians have determined that the sample variance is a(n)_____ estimator of the population variance in that it _____ the population variance across all possible random samples of a given size.

Accepted Answer

A) unbiased;accurately estimates 
B) unbiased;overestimates 
C) biased;overestimates 
D) biased;underestimates 
A) unbiased;accurately estimates 
B) unbiased;overestimates 
C) biased;overestimates 
D) biased;underestimates

Question 14

SPSS provides a calculation labeled as the standard error of the mean in the output.What is the specific information that is being provided?

Accepted Answer

A) The standard deviation estimate. 
B) The mean of all possible means. 
C) The estimated standard error of the mean. 
D) The empirical sampling distribution of the mean. 
A) The standard deviation estimate. 
B) The mean of all possible means. 
C) The estimated standard error of the mean. 
D) The empirical sampling distribution of the mean.

Question 15

The mean square is computed as ____.

Accepted Answer

A) SS/df 
B) variance estimate/N - 1 
C) both a and b 
D) MS/N - 1 
A) SS/df 
B) variance estimate/N - 1 
C) both a and b 
D) MS/N - 1

Question 16

Other things being equal,as the population standard deviation 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 17

What is the central limit theorem?

Accepted Answer

Perspectives on the mean and standard de

Question 18

A sample distribution_____.

Accepted Answer

A) contains raw scores from a sample 
B) contains sample means 
C) will look roughly normal as long as sample sizes are large enough 
D) a and c only 
E) all of the above 
A) contains raw scores from a sample 
B) contains sample means 
C) will look roughly normal as long as sample sizes are large enough 
D) a and c only 
E) all of the above

Question 19

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:

Accepted Answer

A) sample mean 
B) standard deviation 
C) parameter in question 
D) statistic 
A) sample mean 
B) standard deviation 
C) parameter in question 
D) statistic

Question 20

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...

The sample variance can be changed so that it becomes an unbiased estimator of the population by changing the calculation so that

It is safe to assume that college students are representative of a random sample of people in general.

Technically,the accuracy of a variance estimate is not a function of the degrees of freedom (N - 1),but rather is a function of the sample size (N).

A sum of squares around a sample mean will always have _____ degrees of freedom associated with it.

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.

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

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

The amount of sampling error can be represented as the difference between the value of a _ and the value of the corresponding _.

The symbols for the sample variance and population variance are and ,respectively.

A third implication of the central limit theorem is that the sampling distribution of the mean can be approximated by a binomial distribution when the sample size is sufficiently large.

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

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

Statisticians have determined that the sample variance is a(n)_ estimator of the population variance in that it _ the population variance across all possible random samples of a given size.

SPSS provides a calculation labeled as the standard error of the mean in the output.What is the specific information that is being provided?

The mean square is computed as ____.

Other things being equal,as the population standard deviation becomes larger,the Standard error of the mean

What is the central limit theorem?

A sample distribution_____.

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:

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

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 can be changed so that it becomes an unbiased estimator of the population by changing the calculation so that

It is safe to assume that college students are representative of a random sample of people in general.

Technically,the accuracy of a variance estimate is not a function of the degrees of freedom (N - 1),but rather is a function of the sample size (N).

A sum of squares around a sample mean will always have _____ degrees of freedom associated with it.

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.

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

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

The amount of sampling error can be represented as the difference between the value of a _____ and the value of the corresponding _____.

The symbols for the sample variance and population variance are ____ and ____,respectively.

A third implication of the central limit theorem is that the sampling distribution of the mean can be approximated by a binomial distribution when the sample size is sufficiently large.

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

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

Statisticians have determined that the sample variance is a(n)_____ estimator of the population variance in that it _____ the population variance across all possible random samples of a given size.

SPSS provides a calculation labeled as the standard error of the mean in the output.What is the specific information that is being provided?

The mean square is computed as ____.

Other things being equal,as the population standard deviation becomes larger,the Standard error of the mean

What is the central limit theorem?

A sample distribution_____.

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:

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

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

The amount of sampling error can be represented as the difference between the value of a _ and the value of the corresponding _.

The symbols for the sample variance and population variance are and ,respectively.

Statisticians have determined that the sample variance is a(n)_ estimator of the population variance in that it _ the population variance across all possible random samples of a given size.