Question 1

A sample of n = 4 scores has ΣX = 8 and ΣX2 = 40.What is the value of the sample variance,s2?​

Accepted Answer

A) ​2 
B) ​4 
C) ​8 
D) ​10 
A) ​2 
B) ​4 
C) ​8 
D) ​10

Question 2

If the population standard deviation is 4,then the variance will be σ2 = 16.​

Accepted Answer

A) True 
 B)False

Question 3

What is the value of SS for the following set of sample scores? Scores: 0,1,4,5​

Accepted Answer

A) ​17 
B) ​18 
C) ​42 
D) ​10 
A) ​17 
B) ​18 
C) ​42 
D) ​10

Question 4

To calculate the variance for a population,SS is divided by N.​

Accepted Answer

A) True 
 B)False

Question 5

In a population of N = 10 scores,the smallest score is X = 8 and the largest score is X = 20.Using the concept of real limits,what is the range for this population?​

Accepted Answer

A) ​11 
B) ​12 
C) ​13 
D) ​20 
A) ​11 
B) ​12 
C) ​13 
D) ​20

Question 6

Which of the following symbols identifies the sample variance?​

Accepted Answer

A) ​s 
B) ​s2 
C) ​Σ 
D) ​σ2 
A) ​s 
B) ​s2 
C) ​Σ 
D) ​σ2

Question 7

A population of N = 6 scores has ΣX = 12 and ΣX2 = 54.What is the value of SS for this population?​

Accepted Answer

A) ​5 
B) ​9 
C) ​30 
D) ​54 
A) ​5 
B) ​9 
C) ​30 
D) ​54

Question 8

The range and the standard deviation are both measures of spread.​

Accepted Answer

A) True 
 B)False

Question 9

After a researcher adds 5 points to every score in a sample,the standard deviation is found to be s = 10.The original sample had a standard deviation of s = 5.​

Accepted Answer

A) True 
 B)False

Question 10

A population has µ = 50 and σ = 5.If 10 points are added to every score in the population,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 = 60 and σ = 5 
D) ​µ = 60 and σ = 15 
A) ​µ = 50 and σ = 5 
B) ​µ = 50 and σ = 15 
C) ​µ = 60 and σ = 5 
D) ​µ = 60 and σ = 15

Question 11

If you have a score of X = 66 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 12

A sample consists of n = 16 scores.How many of the scores are used to calculate the range?​

Accepted Answer

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

Question 13

For a sample with M = 40 and s = 4,about 95% of the individuals will have scores between X = 32 and X = 48.​

Accepted Answer

A) True 
 B)False

Question 14

A sample of n = 8 scores has SS = 50.If these same scores were a population,then the SS value for the population would be ____.​

Accepted Answer

A) ​50 
B) ​less than 50 
C) ​greater than 50 
D) ​0 
A) ​50 
B) ​less than 50 
C) ​greater than 50 
D) ​0

Question 15

If sample variance is computed by dividing SS by n,then the average value of the sample variances from all the possible random samples will be ____ the population variance.​

Accepted Answer

A) ​smaller than 
B) ​larger than 
C) ​exactly equal to 
D) ​unrelated to 
A) ​smaller than 
B) ​larger than 
C) ​exactly equal to 
D) ​unrelated to

Question 16

Which of the following is true for most distributions?​

Accepted Answer

A) Around 30% of the scores will be located within one standard deviation of the mean.​ 
B) ​Around 50% of the scores will be located within one standard deviation of the mean. 
C) ​Around 70% of the scores will be located within one standard deviation of the mean. 
D) ​Around 90% of the scores will be located within one standard deviation of the mean. 
A) Around 30% of the scores will be located within one standard deviation of the mean.​ 
B) ​Around 50% of the scores will be located within one standard deviation of the mean. 
C) ​Around 70% of the scores will be located within one standard deviation of the mean. 
D) ​Around 90% of the scores will be located within one standard deviation of the mean.

Question 17

A sample with SS = 40 and a variance of 8 has n = 5 scores.​

Accepted Answer

A) True 
 B)False

Question 18

What is the value of SS (sum of squared deviations)for the following set of scores? If the scores constitute a population,what is the population standard deviation,s? Scores: 1,1,4,0.​

Accepted Answer

A) ​SS = 9 and s = 2 
B) ​SS = 16 and s = 2 
C) ​SS = 9 and s = 1.5 
D) ​SS = 16 and s = 1.5 
A) ​SS = 9 and s = 2 
B) ​SS = 16 and s = 2 
C) ​SS = 9 and s = 1.5 
D) ​SS = 16 and s = 1.5

Question 19

For a sample with M = 20 and s = 1,a score of X = 17 would be considered an extremely low score.​

Accepted Answer

A) True 
 B)False

Question 20

A sample of n = 25 scores has mean M = 20 and variance s2 = 9.What is the sample standard deviation?​

Accepted Answer

A) ​3 
B) ​4.5 
C) ​9 
D) ​81 
A) ​3 
B) ​4.5 
C) ​9 
D) ​81

A sample of n = 4 scores has ΣX = 8 and ΣX² = 40.What is the value of the sample variance,s²?

If the population standard deviation is 4,then the variance will be σ² = 16.

What is the value of SS for the following set of sample scores? Scores: 0,1,4,5

To calculate the variance for a population,SS is divided by N.

In a population of N = 10 scores,the smallest score is X = 8 and the largest score is X = 20.Using the concept of real limits,what is the range for this population?

Which of the following symbols identifies the sample variance?

A population of N = 6 scores has ΣX = 12 and ΣX² = 54.What is the value of SS for this population?

The range and the standard deviation are both measures of spread.

After a researcher adds 5 points to every score in a sample,the standard deviation is found to be s = 10.The original sample had a standard deviation of s = 5.

A population has µ = 50 and σ = 5.If 10 points are added to every score in the population,then what are the new values for the mean and standard deviation?

If you have a score of X = 66 on an exam with μ = 70,you should expect a better grade if σ = 10 than if σ = 5.

A sample consists of n = 16 scores.How many of the scores are used to calculate the range?

For a sample with M = 40 and s = 4,about 95% of the individuals will have scores between X = 32 and X = 48.

A sample of n = 8 scores has SS = 50.If these same scores were a population,then the SS value for the population would be ____.

If sample variance is computed by dividing SS by n,then the average value of the sample variances from all the possible random samples will be ____ the population variance.

Which of the following is true for most distributions?

A sample with SS = 40 and a variance of 8 has n = 5 scores.

What is the value of SS (sum of squared deviations)for the following set of scores? If the scores constitute a population,what is the population standard deviation,s? Scores: 1,1,4,0.

For a sample with M = 20 and s = 1,a score of X = 17 would be considered an extremely low score.

A sample of n = 25 scores has mean M = 20 and variance s² = 9.What is the sample 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

A sample of n = 4 scores has ΣX = 8 and ΣX2 = 40.What is the value of the sample variance,s2?​

If the population standard deviation is 4,then the variance will be σ2 = 16.​

What is the value of SS for the following set of sample scores? Scores: 0,1,4,5​

To calculate the variance for a population,SS is divided by N.​

In a population of N = 10 scores,the smallest score is X = 8 and the largest score is X = 20.Using the concept of real limits,what is the range for this population?​

Which of the following symbols identifies the sample variance?​

A population of N = 6 scores has ΣX = 12 and ΣX2 = 54.What is the value of SS for this population?​

The range and the standard deviation are both measures of spread.​

After a researcher adds 5 points to every score in a sample,the standard deviation is found to be s = 10.The original sample had a standard deviation of s = 5.​

A population has µ = 50 and σ = 5.If 10 points are added to every score in the population,then what are the new values for the mean and standard deviation?​

If you have a score of X = 66 on an exam with μ = 70,you should expect a better grade if σ = 10 than if σ = 5.​

A sample consists of n = 16 scores.How many of the scores are used to calculate the range?​

For a sample with M = 40 and s = 4,about 95% of the individuals will have scores between X = 32 and X = 48.​

A sample of n = 8 scores has SS = 50.If these same scores were a population,then the SS value for the population would be ____.​

If sample variance is computed by dividing SS by n,then the average value of the sample variances from all the possible random samples will be ____ the population variance.​

Which of the following is true for most distributions?​

A sample with SS = 40 and a variance of 8 has n = 5 scores.​

What is the value of SS (sum of squared deviations)for the following set of scores? If the scores constitute a population,what is the population standard deviation,s? Scores: 1,1,4,0.​

For a sample with M = 20 and s = 1,a score of X = 17 would be considered an extremely low score.​

A sample of n = 25 scores has mean M = 20 and variance s2 = 9.What is the sample 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

A sample of n = 4 scores has ΣX = 8 and ΣX² = 40.What is the value of the sample variance,s²?

If the population standard deviation is 4,then the variance will be σ² = 16.

What is the value of SS for the following set of sample scores? Scores: 0,1,4,5

To calculate the variance for a population,SS is divided by N.

In a population of N = 10 scores,the smallest score is X = 8 and the largest score is X = 20.Using the concept of real limits,what is the range for this population?

Which of the following symbols identifies the sample variance?

A population of N = 6 scores has ΣX = 12 and ΣX² = 54.What is the value of SS for this population?

The range and the standard deviation are both measures of spread.

After a researcher adds 5 points to every score in a sample,the standard deviation is found to be s = 10.The original sample had a standard deviation of s = 5.

A population has µ = 50 and σ = 5.If 10 points are added to every score in the population,then what are the new values for the mean and standard deviation?

If you have a score of X = 66 on an exam with μ = 70,you should expect a better grade if σ = 10 than if σ = 5.

A sample consists of n = 16 scores.How many of the scores are used to calculate the range?

For a sample with M = 40 and s = 4,about 95% of the individuals will have scores between X = 32 and X = 48.

A sample of n = 8 scores has SS = 50.If these same scores were a population,then the SS value for the population would be ____.

If sample variance is computed by dividing SS by n,then the average value of the sample variances from all the possible random samples will be ____ the population variance.

Which of the following is true for most distributions?

A sample with SS = 40 and a variance of 8 has n = 5 scores.

What is the value of SS (sum of squared deviations)for the following set of scores? If the scores constitute a population,what is the population standard deviation,s? Scores: 1,1,4,0.

For a sample with M = 20 and s = 1,a score of X = 17 would be considered an extremely low score.

A sample of n = 25 scores has mean M = 20 and variance s² = 9.What is the sample standard deviation?