Question 1

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 2

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 3

A positive deviation always indicates a score that is less than the mean.

Accepted Answer

A) True 
 B)False

Question 4

A sample of n = 25 scores is selected from a population with a variance of σ2 = 16,and the variance is computed for the sample using n - 1.The sample variance probably will be smaller than 16.

Accepted Answer

A) True 
 B)False

Question 5

If sample variance is computed by dividing SS by df = n - 1,then the average value of the sample variances from all 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 6

A population of N = 100 scores has µ = 30 and 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 are the values for SS and variance for the following sample of n = 4 scores? Sample: 1,1,0,4

Accepted Answer

A) SS = 9 and variance = 3 
B) SS = 9 and variance = 2.25 
C) SS = 18 and variance = 6 
D) SS = 18 and variance = 9 
A) SS = 9 and variance = 3 
B) SS = 9 and variance = 2.25 
C) SS = 18 and variance = 6 
D) SS = 18 and variance = 9

Question 8

One sample is selected to represent scores in treatment 1 and a second sample is used to represent scores in treatment 2.Which set of sample statistics would present the clearest picture of a real difference between the two treatments?

Accepted Answer

A) M1 = 36,M2 = 40,and both variances = 43 
B) M1 = 36,M2 = 40,and both variances = 6 
C) M1 = 38,M2 = 40,and both variances = 43 
D) M1 = 38,M2 = 40,and both variances = 6 
A) M1 = 36,M2 = 40,and both variances = 43 
B) M1 = 36,M2 = 40,and both variances = 6 
C) M1 = 38,M2 = 40,and both variances = 43 
D) M1 = 38,M2 = 40,and both variances = 6

Question 9

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

Accepted Answer

A) True 
 B)False

Question 10

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 11

To calculate the variance for a sample,SS is divided by df = n - 1.

Accepted Answer

A) True 
 B)False

Question 12

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,1,1,7

Accepted Answer

A) 52 
B) 27 
C) 25 
D) 9 
A) 52 
B) 27 
C) 25 
D) 9

Question 13

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

Accepted Answer

A) True 
 B)False

Question 14

A sample of n = 6 scores has a standard deviation of s = 3.What is the value of SS,the sum of the squared deviations for this sample?

Accepted Answer

A) 54 
B) 45 
C) 18 
D) 15 
A) 54 
B) 45 
C) 18 
D) 15

Question 15

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,3,2,2

Accepted Answer

A) 0.50 
B) 2 
C) 4 
D) 18 
A) 0.50 
B) 2 
C) 4 
D) 18

Question 16

If you have a score of X = 66 on an exam with F1F1F1S1F1F1F10 = 70,you should expect a better grade if σ = 10 than if σ = 5.

Accepted Answer

A) True 
 B)False

Question 17

For a population of scores,the sum of the deviation scores is equal to N.

Accepted Answer

A) True 
 B)False

Question 18

In a population with a mean of μ = 40 and a standard deviation of σ = 8,a score of
X = 46 would be an extreme value,far out in the tail of the distribution.

Accepted Answer

A) True 
 B)False

Question 19

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

Accepted Answer

A) True 
 B)False

Question 20

For a particular population,the largest distance (deviation)between a score and the mean is 11 points.The smallest distance between a score and the mean is 4 points.Therefore,the standard deviation _____.

Accepted Answer

A) will be less than 4 
B) will be between 4 and 11 
C) will be greater than 11 
D) It is impossible to say anything about the standard deviation. 
A) will be less than 4 
B) will be between 4 and 11 
C) will be greater than 11 
D) It is impossible to say anything about the standard deviation.

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

A positive deviation always indicates a score that is less than the mean.

A sample of n = 25 scores is selected from a population with a variance of σ²= 16,and the variance is computed for the sample using n - 1.The sample variance probably will be smaller than 16.

If sample variance is computed by dividing SS by df = n - 1,then the average value of the sample variances from all possible random samples will be _______ the population variance.

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

What are the values for SS and variance for the following sample of n = 4 scores? Sample: 1,1,0,4

One sample is selected to represent scores in treatment 1 and a second sample is used to represent scores in treatment 2.Which set of sample statistics would present the clearest picture of a real difference between the two treatments?

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

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.

To calculate the variance for a sample,SS is divided by df = n - 1.

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,1,1,7

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

A sample of n = 6 scores has a standard deviation of s = 3.What is the value of SS,the sum of the squared deviations for this sample?

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,3,2,2

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

For a population of scores,the sum of the deviation scores is equal to N.

In a population with a mean of μ = 40 and a standard deviation of σ = 8,a score of X = 46 would be an extreme value,far out in the tail of the distribution.

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

For a particular population,the largest distance (deviation)between a score and the mean is 11 points.The smallest distance between a score and the mean is 4 points.Therefore,the standard deviation _____.

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Z-Scores

Probability

Probability and Samples:

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 and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

Exam 4: Measures of Variability

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

A positive deviation always indicates a score that is less than the mean.

A sample of n = 25 scores is selected from a population with a variance of σ2 = 16,and the variance is computed for the sample using n - 1.The sample variance probably will be smaller than 16.

If sample variance is computed by dividing SS by df = n - 1,then the average value of the sample variances from all possible random samples will be _______ the population variance.

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

What are the values for SS and variance for the following sample of n = 4 scores? Sample: 1,1,0,4

One sample is selected to represent scores in treatment 1 and a second sample is used to represent scores in treatment 2.Which set of sample statistics would present the clearest picture of a real difference between the two treatments?

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

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.

To calculate the variance for a sample,SS is divided by df = n - 1.

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,1,1,7

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

A sample of n = 6 scores has a standard deviation of s = 3.What is the value of SS,the sum of the squared deviations for this sample?

What is the value of SS (sum of squared deviations)for the following sample? Sample: 1,3,2,2

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

For a population of scores,the sum of the deviation scores is equal to N.

In a population with a mean of μ = 40 and a standard deviation of σ = 8,a score of X = 46 would be an extreme value,far out in the tail of the distribution.

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

For a particular population,the largest distance (deviation)between a score and the mean is 11 points.The smallest distance between a score and the mean is 4 points.Therefore,the standard deviation _____.

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Z-Scores

Probability

Probability and Samples:

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 and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

A sample of n = 25 scores is selected from a population with a variance of σ²= 16,and the variance is computed for the sample using n - 1.The sample variance probably will be smaller than 16.