Question 1

A sample of n = 7 scores has SS = 42.The variance for this sample is s2 = 6.

Accepted Answer

A) True 
 B)False

Question 2

The smallest score in a population is X = 5 and the largest score is X = 10.Based on this information, you can conclude that ______.

Accepted Answer

A) the population mean is somewhere between 5 and 10. 
B) the population standard deviation is smaller than 6. 
C) the population mean is between 5 and 10, and the standard deviation is less than 6. 
D) None of the other choices is correct. 
A) the population mean is somewhere between 5 and 10. 
B) the population standard deviation is smaller than 6. 
C) the population mean is between 5 and 10, and the standard deviation is less than 6. 
D) None of the other choices is correct.

Question 3

A population of N = 5 scores has SS = 20 and σ2 = 4.If the 5 scores were a sample, the value of SS would still be 20 but the variance would be s2 = 5.

Accepted Answer

A) True 
 B)False

Question 4

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

Accepted Answer

A) True 
 B)False

Question 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?

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 6

After a researcher multiplies every score in a sample by 2, 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 7

A sample of n = 25 scores is selected from a population with a variance of σ2 = 16.The sample variance probably will be smaller than 16.

Accepted Answer

A) True 
 B)False

Question 8

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

Accepted Answer

A) True 
 B)False

Question 9

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 10

The value for SS is always greater than or equal to zero.

Accepted Answer

A) True 
 B)False

Question 11

A population has SS= 100 and $\sigma$2 = 4.What is the value of $\sum$(X - $\mu$) for the population?

Accepted Answer

A) 0 
B) 25 
C) 100 
D) 400 
A) 0 
B) 25 
C) 100 
D) 400

Question 12

A sample of n = 25 scores has M = 20 and 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

Question 13

A set of 10 scores has SS = 90.If the scores are a sample, the sample variance is ____ and if the scores are a population, the population variance is ____.

Accepted Answer

A) s2 = 9, σ2 = 9 
B) s2 = 9, σ2 = 10 
C) s2 = 10, σ2 = 9 
D) s2 = 10, σ2 = 10 
A) s2 = 9, σ2 = 9 
B) s2 = 9, σ2 = 10 
C) s2 = 10, σ2 = 9 
D) s2 = 10, σ2 = 10

Question 14

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 15

A population has SS= 100 and $\sigma$2 = 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 16

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) greater than 50 
C) less than 50 
D) impossible to determine without additional information 
A) 50 
B) greater than 50 
C) less than 50 
D) impossible to determine without additional information

Question 17

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 18

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 19

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 20

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.

A sample of n = 7 scores has SS = 42.The variance for this sample is s² = 6.

The smallest score in a population is X = 5 and the largest score is X = 10.Based on this information, you can conclude that ______.

A population of N = 5 scores has SS = 20 and σ²= 4.If the 5 scores were a sample, the value of SS would still be 20 but the variance would be s²= 5.

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

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?

After a researcher multiplies every score in a sample by 2, the standard deviation is found to be s = 10.The original sample had a standard deviation of s = 5.

A sample of n = 25 scores is selected from a population with a variance of σ²= 16.The sample variance probably will be smaller than 16.

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

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.

The value for SS is always greater than or equal to zero.

A population has SS= 100 and $\sigma$ ² = 4.What is the value of $\sum$ (X - $\mu$ ) for the population?

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

A set of 10 scores has SS = 90.If the scores are a sample, the sample variance is and if the scores are a population, the population variance is .

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

A population has SS= 100 and $\sigma$ ² = 4.How many scores are in the population?

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 _____.

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

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

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.

Which of the following is true for most distributions?

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

A sample of n = 7 scores has SS = 42.The variance for this sample is s2 = 6.

The smallest score in a population is X = 5 and the largest score is X = 10.Based on this information, you can conclude that ______.

A population of N = 5 scores has SS = 20 and σ2 = 4.If the 5 scores were a sample, the value of SS would still be 20 but the variance would be s2 = 5.

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

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?

After a researcher multiplies every score in a sample by 2, the standard deviation is found to be s = 10.The original sample had a standard deviation of s = 5.

A sample of n = 25 scores is selected from a population with a variance of σ2 = 16.The sample variance probably will be smaller than 16.

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

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.

The value for SS is always greater than or equal to zero.

A population has SS= 100 and σ\sigmaσ 2 = 4.What is the value of ∑\sum∑ (X - μ\muμ ) for the population?

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

A set of 10 scores has SS = 90.If the scores are a sample, the sample variance is ____ and if the scores are a population, the population variance is ____.

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

A population has SS= 100 and σ\sigmaσ 2 = 4.How many scores are in the population?

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 _____.

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

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

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.

Which of the following is true for most distributions?

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 = 7 scores has SS = 42.The variance for this sample is s² = 6.

A population of N = 5 scores has SS = 20 and σ²= 4.If the 5 scores were a sample, the value of SS would still be 20 but the variance would be s²= 5.

A sample of n = 25 scores is selected from a population with a variance of σ²= 16.The sample variance probably will be smaller than 16.

A population has SS= 100 and $\sigma$ ² = 4.What is the value of $\sum$ (X - $\mu$ ) for the population?

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

A set of 10 scores has SS = 90.If the scores are a sample, the sample variance is and if the scores are a population, the population variance is .

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

A population has SS= 100 and $\sigma$ ² = 4.How many scores are in the population?