Question 1

Using the concept of real limits, the range is 8 points 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  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 A

Question 3

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

Accepted Answer

A) True 
 B)False  True

Question 4

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

Accepted Answer

A) True 
 B)False

Question 5

If you have a score of X = 66 on an exam with $\mu$ = 70 you should expect a better grade if ? = 10 than if ? = 5.

Accepted Answer

A) True 
 B)False

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

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) cannot be determined without more information 
A) 11 
B) 12 
C) 13 
D) cannot be determined without more information

Question 8

There is a 6-point difference between two sample means.If the two samples have the same variance, then which of the following values for the variance would make the mean difference easiest to see in a graph showing the two distributions.

Accepted Answer

A) s2 = 2 
B) s2 = 8 
C) s2 = 16 
D) s2 = 64 
A) s2 = 2 
B) s2 = 8 
C) s2 = 16 
D) s2 = 64

Question 9

A sample with a variance of 25 has a standard deviation equal to 5 points.

Accepted Answer

A) True 
 B)False

Question 10

A population of N = 5 scores has ΣX = 20 and ΣX2 = 100.For this population, what is the value of SS?

Accepted Answer

A) 20 
B) 80 
C) 100 
D) 380 
A) 20 
B) 80 
C) 100 
D) 380

Question 11

A sample of n = 4 scores has ΣX = 8 and ΣX2 = 40.What is the value of SS for this sample?

Accepted Answer

A) 6 
B) 8 
C) 24 
D) 40 
A) 6 
B) 8 
C) 24 
D) 40

Question 12

What is the value of SS 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 13

On an exam with a mean of μ = 70, you have a score of X = 75.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) cannot determine from the information given 
A) σ = 1 
B) σ = 5 
C) σ = 10 
D) cannot determine from the information given

Question 14

If sample variance is computed by dividing SS by df = n - 1, 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 15

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 16

If the scores in a population range from a low of X = 5 to a high of X = 14, then the population standard deviation must be less than 15 points.

Accepted Answer

A) True 
 B)False

Question 17

If the population variance is 5, then the population standard deviation is σ = 25.

Accepted Answer

A) True 
 B)False

Question 18

For a population with $\mu$ = 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) ? = 1 
B) ? = 2 
C) ? = 3 
D) ? = 4 
A) ? = 1 
B) ? = 2 
C) ? = 3 
D) ? = 4

Question 19

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

Accepted Answer

A) 18 
B) 10 
C) 9 
D) 6 
A) 18 
B) 10 
C) 9 
D) 6

Question 20

For a sample of n = 6 scores with $\sum$X = 30 and $\sum$X2 = 200, SS = 20.

Accepted Answer

A) True 
 B)False

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

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

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

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

If you have a score of X = 66 on an exam with $\mu$ = 70 you should expect a better grade if ? = 10 than if ? = 5.

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

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?

There is a 6-point difference between two sample means.If the two samples have the same variance, then which of the following values for the variance would make the mean difference easiest to see in a graph showing the two distributions.

A sample with a variance of 25 has a standard deviation equal to 5 points.

A population of N = 5 scores has ΣX = 20 and ΣX² = 100.For this population, what is the value of SS?

A sample of n = 4 scores has ΣX = 8 and ΣX² = 40.What is the value of SS for this sample?

What is the value of SS for the following set of scores? Scores: 8, 3, 1.

On an exam with a mean of μ = 70, you have a score of X = 75.Which of the following values for the standard deviation would give you the highest position within the class?

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

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

If the scores in a population range from a low of X = 5 to a high of X = 14, then the population standard deviation must be less than 15 points.

If the population variance is 5, then the population standard deviation is σ = 25.

For a population with $\mu$ = 60, which of the following values for the population standard deviation would cause X = 68 to have the most extreme position in the distribution?

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

For a sample of n = 6 scores with $\sum$ X = 30 and $\sum$ X² = 200, SS = 20.

Introduction to Statistics

Frequency Distributions

Central Tendency

Z-Scores

Probability

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 Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

Exam 4: Variability

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

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

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

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

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

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

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?

There is a 6-point difference between two sample means.If the two samples have the same variance, then which of the following values for the variance would make the mean difference easiest to see in a graph showing the two distributions.

A sample with a variance of 25 has a standard deviation equal to 5 points.

A population of N = 5 scores has ΣX = 20 and ΣX2 = 100.For this population, what is the value of SS?

A sample of n = 4 scores has ΣX = 8 and ΣX2 = 40.What is the value of SS for this sample?

What is the value of SS for the following set of scores? Scores: 8, 3, 1.

On an exam with a mean of μ = 70, you have a score of X = 75.Which of the following values for the standard deviation would give you the highest position within the class?

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

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

If the scores in a population range from a low of X = 5 to a high of X = 14, then the population standard deviation must be less than 15 points.

If the population variance is 5, then the population standard deviation is σ = 25.

For a population with μ\muμ = 60, which of the following values for the population standard deviation would cause X = 68 to have the most extreme position in the distribution?

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

For a sample of n = 6 scores with ∑\sum∑ X = 30 and ∑\sum∑ X2 = 200, SS = 20.

Introduction to Statistics

Frequency Distributions

Central Tendency

Z-Scores

Probability

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 Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

If you have a score of X = 66 on an exam with $\mu$ = 70 you should expect a better grade if ? = 10 than if ? = 5.

A population of N = 5 scores has ΣX = 20 and ΣX² = 100.For this population, what is the value of SS?

A sample of n = 4 scores has ΣX = 8 and ΣX² = 40.What is the value of SS for this sample?

For a population with $\mu$ = 60, which of the following values for the population standard deviation would cause X = 68 to have the most extreme position in the distribution?

For a sample of n = 6 scores with $\sum$ X = 30 and $\sum$ X² = 200, SS = 20.