Question 1

For a population with µ = 70 and σ = 5, about 95% of the individuals will have scores between X = 65 and X = 75.

Accepted Answer

A) True 
 B)False

Question 2

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

Accepted Answer

A) True 
 B)False

Question 3

A population with SS = 90 and a variance of 9 has N = 10 scores.

Accepted Answer

A) True 
 B)False

Question 4

What is the value of SS (sum of squared deviations) for the following population? Population: 1, 1, 1, 5

Accepted Answer

A) 3 
B) 7 
C) 12 
D) 28 
A) 3 
B) 7 
C) 12 
D) 28

Question 5

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

Question 6

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

Accepted Answer

A) True 
 B)False

Question 7

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

Accepted Answer

A) True 
 B)False

Question 8

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 9

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

Question 10

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 11

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 12

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

Question 13

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 14

A sample of n = 9 scores has a variance of s2 = 18.If the scores were a population, what value would be obtained for the population variance.

Accepted Answer

A) $\sigma$2 = 14 
B) $\sigma$2 = 16 
C) $\sigma$2 = 24 
D) $\sigma$2 = 144 
A) $\sigma$2 = 14 
B) $\sigma$2 = 16 
C) $\sigma$2 = 24 
D) $\sigma$2 = 144

Question 15

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

Accepted Answer

A) 17 
B) 18 
C) 42 
D) Cannot answer without knowing whether it is a sample or a population. 
A) 17 
B) 18 
C) 42 
D) Cannot answer without knowing whether it is a sample or a population.

Question 16

On an exam with a mean of μ = 70, you have a score of X = 65.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 17

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 18

If you have a score of X = 76 on an exam with $\mu$ = 70 you should expect a better grade if ? = 10 than if ? = 5.

Accepted Answer

A) True 
 B)False

Question 19

What is the value of SS (sum of squared deviations) for the following sample? Sample: 2, 3, 4, 7

Accepted Answer

A) 14/3 = 2.67 
B) 14 
C) 72 
D) 78 
A) 14/3 = 2.67 
B) 14 
C) 72 
D) 78

Question 20

For a particular sample, 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.

For a population with µ = 70 and σ = 5, about 95% of the individuals will have scores between X = 65 and X = 75.

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

A population with SS = 90 and a variance of 9 has N = 10 scores.

What is the value of SS (sum of squared deviations) for the following population? Population: 1, 1, 1, 5

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

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

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

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

Which set of scores has the smallest standard deviation?

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

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.

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

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

A sample of n = 9 scores has a variance of s² = 18.If the scores were a population, what value would be obtained for the population variance.

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

On an exam with a mean of μ = 70, you have a score of X = 65.Which of the following values for the standard deviation would give you the highest position within the class?

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

If you have a score of X = 76 on an exam with $\mu$ = 70 you should expect a better grade if ? = 10 than if ? = 5.

What is the value of SS (sum of squared deviations) for the following sample? Sample: 2, 3, 4, 7

For a particular sample, 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

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

For a population with µ = 70 and σ = 5, about 95% of the individuals will have scores between X = 65 and X = 75.

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

A population with SS = 90 and a variance of 9 has N = 10 scores.

What is the value of SS (sum of squared deviations) for the following population? Population: 1, 1, 1, 5

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

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

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

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

Which set of scores has the smallest standard deviation?

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

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.

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

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

A sample of n = 9 scores has a variance of s2 = 18.If the scores were a population, what value would be obtained for the population variance.

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

On an exam with a mean of μ = 70, you have a score of X = 65.Which of the following values for the standard deviation would give you the highest position within the class?

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

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

What is the value of SS (sum of squared deviations) for the following sample? Sample: 2, 3, 4, 7

For a particular sample, 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

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

A sample of n = 9 scores has a variance of s² = 18.If the scores were a population, what value would be obtained for the population variance.

If you have a score of X = 76 on an exam with $\mu$ = 70 you should expect a better grade if ? = 10 than if ? = 5.