Question 1

Variability provides a quantitative measure of the difference between scores in a distribution.​

Accepted Answer

A) True 
 B)False

Question 2

What is the value of SS (sum of squared deviations)for the following population?Population: 2,3,0,5​

Accepted Answer

A) ​13 
B) ​38 
C) ​13/4 = 3.25 
D) ​38/4 = 9.50 
A) ​13 
B) ​38 
C) ​13/4 = 3.25 
D) ​38/4 = 9.50

Question 3

Multiplying every score in a sample by 3 will not change the value of the standard deviation.​

Accepted Answer

A) True 
 B)False

Question 4

For a sample of n = 16 scores,how many scores are used to calculate the sample variance?​

Accepted Answer

A) ​2 
B) ​8 
C) ​15 
D) ​16 
A) ​2 
B) ​8 
C) ​15 
D) ​16

Question 5

Given a population with mean m = 60,which of the following values for the population standard deviation would cause X = 68 to have the most extreme position in the distribution?​

Accepted Answer

A) ​σ = 2 
B) ​σ = 3 
C) ​σ = 5 
D) ​σ = 12 
A) ​σ = 2 
B) ​σ = 3 
C) ​σ = 5 
D) ​σ = 12

Question 6

A population of N = 100 scores has mean µ = 30 and standard deviation σ = 4.What is the population variance?​

Accepted Answer

A) 2​ 
B) ​4 
C) ​8 
D) ​16 
A) 2​ 
B) ​4 
C) ​8 
D) ​16

Question 7

What is the value of SS (sum of squared deviations)for the following set of scores? Scores: 8,3,1​

Accepted Answer

A) ​26 
B) ​29 
C) ​74 
D) ​144 
A) ​26 
B) ​29 
C) ​74 
D) ​144

Question 8

Using the concept of real limits,the range is 8 for a set of scores that range from a high of X = 16 to a low of X = 8.​

Accepted Answer

A) True 
 B)False

Question 9

It is easier to see the mean difference between two samples if the sample variances are small.​

Accepted Answer

A) True 
 B)False

Question 10

A population has sum of squared deviations,SS = 100 and variance,s2 = 4.How many scores are in the population?​

Accepted Answer

A) ​25 
B) ​26 
C) ​200 
D) ​400 
A) ​25 
B) ​26 
C) ​200 
D) ​400

Question 11

A population of scores has µ = 50 and σ = 5.If every score in the population is multiplied by 3,then what are the new values for the mean and standard deviation?​

Accepted Answer

A) ​µ = 50 and σ = 5 
B) ​µ = 50 and σ = 15 
C) ​µ = 150 and σ = 5 
D) ​µ = 150 and σ = 15 
A) ​µ = 50 and σ = 5 
B) ​µ = 50 and σ = 15 
C) ​µ = 150 and σ = 5 
D) ​µ = 150 and σ = 15

Question 12

What are the values for SS and variance for the following sample of n = 3 scores?​ Sample: 1,4,7

Accepted Answer

A) ​SS = 18 and variance = 6 
B) ​SS = 18 and variance = 9 
C) ​SS = 66 and variance = 22 
D) ​SS = 66 and variance = 33 
A) ​SS = 18 and variance = 6 
B) ​SS = 18 and variance = 9 
C) ​SS = 66 and variance = 22 
D) ​SS = 66 and variance = 33

Question 13

If you have a score of X = 76 on an exam with μ = 70,you should expect a better grade if σ = 10 than if σ = 5.​

Accepted Answer

A) True 
 B)False

Question 14

What is the variance for the following population of scores? Scores: 5,2,5,4​

Accepted Answer

A) ​6 
B) ​2 
C) ​1.5 
D) ​1.22 
A) ​6 
B) ​2 
C) ​1.5 
D) ​1.22

Question 15

The range is usually considered to be a relatively crude measure of variability.​

Accepted Answer

A) True 
 B)False

Question 16

You have a score of X = 65 on a math exam.The mean score for the class on the exam is μ = 70.Which of the following values for the standard deviation would give you the most favorable position within the class?​

Accepted Answer

A) ​σ = 0 
B) ​σ = 1 
C) ​σ = 5 
D) ​σ = 10 
A) ​σ = 0 
B) ​σ = 1 
C) ​σ = 5 
D) ​σ = 10

Question 17

You have a score of X = 75 on a statistics exam.The mean score for the class on the exam is μ = 70.Which of the following values for the standard deviation would give you the highest position within the class?​

Accepted Answer

A) ​σ = 1 
B) ​σ = 5 
C) ​σ = 10 
D) ​σ = 12 
A) ​σ = 1 
B) ​σ = 5 
C) ​σ = 10 
D) ​σ = 12

Question 18

The sum of the squared deviation scores is SS = 20 for a population of N = 5 scores.What is the variance for this population?​

Accepted Answer

A) ​4 
B) ​5 
C) ​80 
D) ​100 
A) ​4 
B) ​5 
C) ​80 
D) ​100

Question 19

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,1,1,3​

Accepted Answer

A) ​0 
B) ​1 
C) ​3 
D) ​12 
A) ​0 
B) ​1 
C) ​3 
D) ​12

Question 20

Which set of scores has the smallest standard deviation?​

Accepted Answer

A) ​11, 17, 31, 53 
B) ​5, 11, 42, 22 
C) ​145, 143, 145, 147 
D) ​27, 105, 10, 80 
A) ​11, 17, 31, 53 
B) ​5, 11, 42, 22 
C) ​145, 143, 145, 147 
D) ​27, 105, 10, 80

Variability provides a quantitative measure of the difference between scores in a distribution.

What is the value of SS (sum of squared deviations)for the following population?Population: 2,3,0,5

Multiplying every score in a sample by 3 will not change the value of the standard deviation.

For a sample of n = 16 scores,how many scores are used to calculate the sample variance?

Given a population with mean m = 60,which of the following values for the population standard deviation would cause X = 68 to have the most extreme position in the distribution?

A population of N = 100 scores has mean µ = 30 and standard deviation σ = 4.What is the population variance?

What is the value of SS (sum of squared deviations)for the following set of scores? Scores: 8,3,1

Using the concept of real limits,the range is 8 for a set of scores that range from a high of X = 16 to a low of X = 8.

It is easier to see the mean difference between two samples if the sample variances are small.

A population has sum of squared deviations,SS = 100 and variance,s2 = 4.How many scores are in the population?

A population of scores has µ = 50 and σ = 5.If every score in the population is multiplied by 3,then what are the new values for the mean and standard deviation?

What are the values for SS and variance for the following sample of n = 3 scores? Sample: 1,4,7

If you have a score of X = 76 on an exam with μ = 70,you should expect a better grade if σ = 10 than if σ = 5.

What is the variance for the following population of scores? Scores: 5,2,5,4

The range is usually considered to be a relatively crude measure of variability.

You have a score of X = 65 on a math exam.The mean score for the class on the exam is μ = 70.Which of the following values for the standard deviation would give you the most favorable position within the class?

You have a score of X = 75 on a statistics exam.The mean score for the class on the exam is μ = 70.Which of the following values for the standard deviation would give you the highest position within the class?

The sum of the squared deviation scores is SS = 20 for a population of N = 5 scores.What is the variance for this population?

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,1,1,3

Which set of scores has the smallest standard deviation?

Introduction to Statistics

Frequency Distributions

Central Tendency

Z-Scores: Location of Scores and Standardized Distributions

Probability

Probability and Samples: the Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Two-Factor Analysis of Variance Independent Measures

Correlation

Introduction to Regression

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

The Binomial Test

Filters

Exam 4: Variability

Variability provides a quantitative measure of the difference between scores in a distribution.​

What is the value of SS (sum of squared deviations)for the following population?Population: 2,3,0,5​

Multiplying every score in a sample by 3 will not change the value of the standard deviation.​

For a sample of n = 16 scores,how many scores are used to calculate the sample variance?​

Given a population with mean m = 60,which of the following values for the population standard deviation would cause X = 68 to have the most extreme position in the distribution?​

A population of N = 100 scores has mean µ = 30 and standard deviation σ = 4.What is the population variance?​

What is the value of SS (sum of squared deviations)for the following set of scores? Scores: 8,3,1​

Using the concept of real limits,the range is 8 for a set of scores that range from a high of X = 16 to a low of X = 8.​

It is easier to see the mean difference between two samples if the sample variances are small.​

A population has sum of squared deviations,SS = 100 and variance,s2 = 4.How many scores are in the population?​

A population of scores has µ = 50 and σ = 5.If every score in the population is multiplied by 3,then what are the new values for the mean and standard deviation?​

What are the values for SS and variance for the following sample of n = 3 scores?​ Sample: 1,4,7

If you have a score of X = 76 on an exam with μ = 70,you should expect a better grade if σ = 10 than if σ = 5.​

What is the variance for the following population of scores? Scores: 5,2,5,4​

The range is usually considered to be a relatively crude measure of variability.​

You have a score of X = 65 on a math exam.The mean score for the class on the exam is μ = 70.Which of the following values for the standard deviation would give you the most favorable position within the class?​

You have a score of X = 75 on a statistics exam.The mean score for the class on the exam is μ = 70.Which of the following values for the standard deviation would give you the highest position within the class?​

The sum of the squared deviation scores is SS = 20 for a population of N = 5 scores.What is the variance for this population?​

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,1,1,3​

Which set of scores has the smallest standard deviation?​

Introduction to Statistics

Frequency Distributions

Central Tendency

Z-Scores: Location of Scores and Standardized Distributions

Probability

Probability and Samples: the Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Two-Factor Analysis of Variance Independent Measures

Correlation

Introduction to Regression

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

The Binomial Test

Filters

Variability provides a quantitative measure of the difference between scores in a distribution.

What is the value of SS (sum of squared deviations)for the following population?Population: 2,3,0,5

Multiplying every score in a sample by 3 will not change the value of the standard deviation.

For a sample of n = 16 scores,how many scores are used to calculate the sample variance?

Given a population with mean m = 60,which of the following values for the population standard deviation would cause X = 68 to have the most extreme position in the distribution?

A population of N = 100 scores has mean µ = 30 and standard deviation σ = 4.What is the population variance?

What is the value of SS (sum of squared deviations)for the following set of scores? Scores: 8,3,1

Using the concept of real limits,the range is 8 for a set of scores that range from a high of X = 16 to a low of X = 8.

It is easier to see the mean difference between two samples if the sample variances are small.

A population has sum of squared deviations,SS = 100 and variance,s2 = 4.How many scores are in the population?

A population of scores has µ = 50 and σ = 5.If every score in the population is multiplied by 3,then what are the new values for the mean and standard deviation?

What are the values for SS and variance for the following sample of n = 3 scores? Sample: 1,4,7

If you have a score of X = 76 on an exam with μ = 70,you should expect a better grade if σ = 10 than if σ = 5.

What is the variance for the following population of scores? Scores: 5,2,5,4

The range is usually considered to be a relatively crude measure of variability.

You have a score of X = 65 on a math exam.The mean score for the class on the exam is μ = 70.Which of the following values for the standard deviation would give you the most favorable position within the class?

You have a score of X = 75 on a statistics exam.The mean score for the class on the exam is μ = 70.Which of the following values for the standard deviation would give you the highest position within the class?

The sum of the squared deviation scores is SS = 20 for a population of N = 5 scores.What is the variance for this population?

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,1,1,3

Which set of scores has the smallest standard deviation?