Question 1

Which of the following statements is true?

Accepted Answer

A) It is possible for a distribution to have two means. 
B) It is possible for a distribution to have two medians. 
C) It is possible for a distribution to have two modes. 
D) It is possible for a distribution to have two medians or two modes. 
A) It is possible for a distribution to have two means. 
B) It is possible for a distribution to have two medians. 
C) It is possible for a distribution to have two modes. 
D) It is possible for a distribution to have two medians or two modes.

Question 2

A population of N = 7 scores has a mean of µ = 10.If one score with a value of X = 4 is removed from the population,what is the value for the new mean?

Accepted Answer

A) 70/6 
B) 66/7 
C) 66/6 = 11 
D) Cannot be determined from the information given 
A) 70/6 
B) 66/7 
C) 66/6 = 11 
D) Cannot be determined from the information given

Question 3

A set of n = 3 scores has a mean of M = 10.Another set of scores has n = 7 and
M = 6.If these two sets of scores are combined,what is the mean for the combined group?

Accepted Answer

For the combined sam

Question 4

For any distribution of scores,at least one individual will have a score exactly equal to the mean.

Accepted Answer

A) True 
 B)False

Question 5

Adding a new score to a distribution will always change the value of the mean.

Accepted Answer

A) True 
 B)False

Question 6

After adding 6 points to every score in a sample,the new mean is found to be M = 18.The mean for the original sample was M = 24.

Accepted Answer

A) True 
 B)False

Question 7

It is impossible for the value of the mode to be greater than the value of the mean.

Accepted Answer

A) True 
 B)False

Question 8

In a population of N = 6,five of the individuals all have scores that are exactly 1 point above the mean.From this information,what can you determine about the score for the 6th individual?

Accepted Answer

A) It is also above the mean by 1 point. 
B) It is below the mean by 1 point. 
C) It is below the mean by 5 points. 
D) There is not enough information to describe the 6th score. 
A) It is also above the mean by 1 point. 
B) It is below the mean by 1 point. 
C) It is below the mean by 5 points. 
D) There is not enough information to describe the 6th score.

Question 9

What is the mean for the following scores? Scores: 4,6,14

Accepted Answer

A) 12 
B) 8 
C) 7 
D) 6 
A) 12 
B) 8 
C) 7 
D) 6

Question 10

A sample has a mean of M = 90.If each score in the sample is multiplied by 5,then what is the mean for the new distribution?

Accepted Answer

A) 18 
B) 85 
C) 95 
D) 450 
A) 18 
B) 85 
C) 95 
D) 450

Question 11

What is the mean for the population of scores shown in the frequency distribution table? $$\begin{array} { c c } 
X & f \
\hline 5 & 2 \
4 & 1 \
3 & 3 \
2 & 2 \
1 & 2
\end{array}$$

Accepted Answer

A) 15/5 = 3 
B) 15/10 = 1.50 
C) 29/5 = 5.80 
D) 29/10 = 2.90 
A) 15/5 = 3 
B) 15/10 = 1.50 
C) 29/5 = 5.80 
D) 29/10 = 2.90

Question 12

If a negatively skewed distribution has a mean of 50,then the median and the mode are probably both greater than 50.

Accepted Answer

A) True 
 B)False

Question 13

What is the value of the median for the following set of scores? Scores: 1,3,4,6,8,12,13,23,25,26

Accepted Answer

A) 7 
B) 8 
C) 10 
D) 12.5 
A) 7 
B) 8 
C) 10 
D) 12.5

Question 14

A sample with a mean of M = 20 has ΣX = 120.There are n = 6 scores in the sample.

Accepted Answer

A) True 
 B)False

Question 15

Which of the following statements cannot be true for a distribution of scores?

Accepted Answer

A) No one has a score exactly equal to the mean. 
B) No one has a score exactly equal to the median. 
C) No one has a score exactly equal to the mode. 
D) All of the other options are false statements. 
A) No one has a score exactly equal to the mean. 
B) No one has a score exactly equal to the median. 
C) No one has a score exactly equal to the mode. 
D) All of the other options are false statements.

Question 16

After every score in a sample is multiplied by 3,the mean is calculated and found to be M = 21.What was the mean for the original scores?

Accepted Answer

A) 7 
B) 21 
C) 63 
D) Cannot be determined from the information given 
A) 7 
B) 21 
C) 63 
D) Cannot be determined from the information given

Question 17

For a positively skewed distribution with a mean of M = 20,what is the most probable value for the median?

Accepted Answer

A) Greater than 20 
B) Less than 20 
C) 20 
D) Cannot be determined from the information given 
A) Greater than 20 
B) Less than 20 
C) 20 
D) Cannot be determined from the information given

Question 18

For a perfectly symmetrical distribution with a median of 30,what is the value of the mean?

Accepted Answer

A) 30 
B) Greater than 30 
C) Less than 30 
D) Cannot be determined from the information given 
A) 30 
B) Greater than 30 
C) Less than 30 
D) Cannot be determined from the information given

Question 19

A population of N = 8 scores has ΣX = 40.What is the population mean?

Accepted Answer

A) 320 
B) 20 
C) 5 
D) 0.2 
A) 320 
B) 20 
C) 5 
D) 0.2

Question 20

A sample of n = 6 scores has ΣX = 48.This sample has a mean of M = 8.

Accepted Answer

A) True 
 B)False

Which of the following statements is true?

A population of N = 7 scores has a mean of µ = 10.If one score with a value of X = 4 is removed from the population,what is the value for the new mean?

A set of n = 3 scores has a mean of M = 10.Another set of scores has n = 7 and M = 6.If these two sets of scores are combined,what is the mean for the combined group?

For any distribution of scores,at least one individual will have a score exactly equal to the mean.

Adding a new score to a distribution will always change the value of the mean.

After adding 6 points to every score in a sample,the new mean is found to be M = 18.The mean for the original sample was M = 24.

It is impossible for the value of the mode to be greater than the value of the mean.

In a population of N = 6,five of the individuals all have scores that are exactly 1 point above the mean.From this information,what can you determine about the score for the 6th individual?

What is the mean for the following scores? Scores: 4,6,14

A sample has a mean of M = 90.If each score in the sample is multiplied by 5,then what is the mean for the new distribution?

What is the mean for the population of scores shown in the frequency distribution table? X f 5 2 4 1 3 3 2 2 1 2

If a negatively skewed distribution has a mean of 50,then the median and the mode are probably both greater than 50.

What is the value of the median for the following set of scores? Scores: 1,3,4,6,8,12,13,23,25,26

A sample with a mean of M = 20 has ΣX = 120.There are n = 6 scores in the sample.

Which of the following statements cannot be true for a distribution of scores?

After every score in a sample is multiplied by 3,the mean is calculated and found to be M = 21.What was the mean for the original scores?

For a positively skewed distribution with a mean of M = 20,what is the most probable value for the median?

For a perfectly symmetrical distribution with a median of 30,what is the value of the mean?

A population of N = 8 scores has ΣX = 40.What is the population mean?

A sample of n = 6 scores has ΣX = 48.This sample has a mean of M = 8.

Introduction to Statistics.

Frequency Distributions.

Variability.

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 and Two-Factor Analysis of Variance

Correlation and Regression.

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

Filters

Exam 3: Central Tendency.

Which of the following statements is true?

A population of N = 7 scores has a mean of µ = 10.If one score with a value of X = 4 is removed from the population,what is the value for the new mean?

A set of n = 3 scores has a mean of M = 10.Another set of scores has n = 7 and M = 6.If these two sets of scores are combined,what is the mean for the combined group?

For any distribution of scores,at least one individual will have a score exactly equal to the mean.

Adding a new score to a distribution will always change the value of the mean.

After adding 6 points to every score in a sample,the new mean is found to be M = 18.The mean for the original sample was M = 24.

It is impossible for the value of the mode to be greater than the value of the mean.

In a population of N = 6,five of the individuals all have scores that are exactly 1 point above the mean.From this information,what can you determine about the score for the 6th individual?

What is the mean for the following scores? Scores: 4,6,14

A sample has a mean of M = 90.If each score in the sample is multiplied by 5,then what is the mean for the new distribution?

What is the mean for the population of scores shown in the frequency distribution table? X f 5 2 4 1 3 3 2 2 1 2

If a negatively skewed distribution has a mean of 50,then the median and the mode are probably both greater than 50.

What is the value of the median for the following set of scores? Scores: 1,3,4,6,8,12,13,23,25,26

A sample with a mean of M = 20 has ΣX = 120.There are n = 6 scores in the sample.

Which of the following statements cannot be true for a distribution of scores?

After every score in a sample is multiplied by 3,the mean is calculated and found to be M = 21.What was the mean for the original scores?

For a positively skewed distribution with a mean of M = 20,what is the most probable value for the median?

For a perfectly symmetrical distribution with a median of 30,what is the value of the mean?

A population of N = 8 scores has ΣX = 40.What is the population mean?

A sample of n = 6 scores has ΣX = 48.This sample has a mean of M = 8.

Introduction to Statistics.

Frequency Distributions.

Variability.

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 and Two-Factor Analysis of Variance

Correlation and Regression.

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

Filters