Question 1

A normal curve:

Accepted Answer

A) Is symmetrical. 
B) Is shaped like a bell. 
C) Contains an identical mean, median and mode 
D) All of these 
A) Is symmetrical. 
B) Is shaped like a bell. 
C) Contains an identical mean, median and mode 
D) All of these D

Question 2

Some normal curves are more peaked or flatter than others.

Accepted Answer

A) True 
 B)False  True

Question 3

In a normal distribution, the right and left halves of the curve are mirror images of each other.

Accepted Answer

A) True 
 B)False  True

Question 4

Given the following frequency distribution, the distribution is:

Accepted Answer

A) Normal. 
B) Positively skewed. 
C) Negatively skewed. 
D) Bimodal 
A) Normal. 
B) Positively skewed. 
C) Negatively skewed. 
D) Bimodal

Question 5

A positively skewed distribution has more values below the mean than above it.

Accepted Answer

A) True 
 B)False

Question 6

Given the following frequency distribution, the distribution is:

Accepted Answer

A) platykurtic 
B) leptokurtic 
C) mesokurtic 
D) skewtokurtic 
A) platykurtic 
B) leptokurtic 
C) mesokurtic 
D) skewtokurtic

Question 7

In a normal distribution, approximately 99 percent of all the cases fall between the x-axis values that are one standard deviation less than the mean and one standard deviation greater than the mean.

Accepted Answer

A) True 
 B)False

Question 8

Given the following frequency distribution, the distribution is:

Accepted Answer

A) platykurtic 
B) leptokurtic 
C) mesokurtic 
D) skewtokurtic 
A) platykurtic 
B) leptokurtic 
C) mesokurtic 
D) skewtokurtic

Question 9

Given the following frequency distribution, the distribution is:

Accepted Answer

A) Normal. 
B) Positively skewed. 
C) Negatively skewed. 
D) Bimodal 
A) Normal. 
B) Positively skewed. 
C) Negatively skewed. 
D) Bimodal

Question 10

If a normal curve has a mean of 50 and a standard deviation of 9, then the value at one standard deviation below the mean is:

Accepted Answer

A) 9 
B) 41 
C) 47 
D) 32 
A) 9 
B) 41 
C) 47 
D) 32

Question 11

If normal curve A has a mean of 50 and a standard deviation of 5, and normal curve B has a mean of 50 and a standard deviation of 10, then:

Accepted Answer

A) Curve A has more kurtosis than curve B. 
B) Curve A has less kurtosis than curve B. 
C) Because both curves are normal, they have the same degree of kurtosis. 
D) None of these. 
A) Curve A has more kurtosis than curve B. 
B) Curve A has less kurtosis than curve B. 
C) Because both curves are normal, they have the same degree of kurtosis. 
D) None of these.

Question 12

In a negatively skewed distribution, more values are below the mean, but the mean is increased by some extremely high values above it.

Accepted Answer

A) True 
 B)False

Question 13

The greater the kurtosis statistic, the taller, narrower and more peaked the curve.

Accepted Answer

A) True 
 B)False

Question 14

A normal curve with a mean of 100 and a standard deviation of 30 will have the same degree of kurtosis as a normal curve with a mean of 100 and a standard deviation of 5.

Accepted Answer

A) True 
 B)False

Question 15

Given the following frequency distribution, the distribution is:

Accepted Answer

A) platykurtic 
B) leptokurtic 
C) mesokurtic 
D) skewtokurtic 
A) platykurtic 
B) leptokurtic 
C) mesokurtic 
D) skewtokurtic

Question 16

Given the following frequency distribution, the distribution is:

Accepted Answer

A) Normal. 
B) Positively skewed. 
C) Negatively skewed. 
D) Bimodal 
A) Normal. 
B) Positively skewed. 
C) Negatively skewed. 
D) Bimodal

Question 17

A bimodal distribution is one form of a normal distribution.

Accepted Answer

A) True 
 B)False

Question 18

Given the following frequency distribution, the distribution is:

Accepted Answer

A) Normal. 
B) Positively skewed. 
C) Negatively skewed. 
D) Bimodal 
A) Normal. 
B) Positively skewed. 
C) Negatively skewed. 
D) Bimodal

A normal curve:

Some normal curves are more peaked or flatter than others.

In a normal distribution, the right and left halves of the curve are mirror images of each other.

Given the following frequency distribution, the distribution is:

A positively skewed distribution has more values below the mean than above it.

Given the following frequency distribution, the distribution is:

In a normal distribution, approximately 99 percent of all the cases fall between the x-axis values that are one standard deviation less than the mean and one standard deviation greater than the mean.

Given the following frequency distribution, the distribution is:

Given the following frequency distribution, the distribution is:

If a normal curve has a mean of 50 and a standard deviation of 9, then the value at one standard deviation below the mean is:

If normal curve A has a mean of 50 and a standard deviation of 5, and normal curve B has a mean of 50 and a standard deviation of 10, then:

In a negatively skewed distribution, more values are below the mean, but the mean is increased by some extremely high values above it.

The greater the kurtosis statistic, the taller, narrower and more peaked the curve.

A normal curve with a mean of 100 and a standard deviation of 30 will have the same degree of kurtosis as a normal curve with a mean of 100 and a standard deviation of 5.

Given the following frequency distribution, the distribution is:

Given the following frequency distribution, the distribution is:

A bimodal distribution is one form of a normal distribution.

Given the following frequency distribution, the distribution is:

Why Study Statistics

Use of Statistics in Evidence-Based Practice

Review of Key Research Methodology Concepts and Terms

Frequency Distributions

Graphs and Charts

Measures of Central Tendency

Measures of Dispersion

Z-Scores, Percentiles and Effect Size

Probability and Sampling Distributions

Hypothesis Testing and Statistical Significance

Type I and Type Ii Errors

Interpreting the Strength and Importance of Relationships

The T-Test

Analysis of Variance

Cross Tabulation and Chi-Square

Correlation

Regression Analysis

Applications to Single-System Evaluation Designs

Filters

Exam 8: Types of Distributions

A normal curve:

Some normal curves are more peaked or flatter than others.

In a normal distribution, the right and left halves of the curve are mirror images of each other.

Given the following frequency distribution, the distribution is:

A positively skewed distribution has more values below the mean than above it.

Given the following frequency distribution, the distribution is:

In a normal distribution, approximately 99 percent of all the cases fall between the x-axis values that are one standard deviation less than the mean and one standard deviation greater than the mean.

Given the following frequency distribution, the distribution is:

Given the following frequency distribution, the distribution is:

If a normal curve has a mean of 50 and a standard deviation of 9, then the value at one standard deviation below the mean is:

If normal curve A has a mean of 50 and a standard deviation of 5, and normal curve B has a mean of 50 and a standard deviation of 10, then:

In a negatively skewed distribution, more values are below the mean, but the mean is increased by some extremely high values above it.

The greater the kurtosis statistic, the taller, narrower and more peaked the curve.

A normal curve with a mean of 100 and a standard deviation of 30 will have the same degree of kurtosis as a normal curve with a mean of 100 and a standard deviation of 5.

Given the following frequency distribution, the distribution is:

Given the following frequency distribution, the distribution is:

A bimodal distribution is one form of a normal distribution.

Given the following frequency distribution, the distribution is:

Why Study Statistics

Use of Statistics in Evidence-Based Practice

Review of Key Research Methodology Concepts and Terms

Frequency Distributions

Graphs and Charts

Measures of Central Tendency

Measures of Dispersion

Z-Scores, Percentiles and Effect Size

Probability and Sampling Distributions

Hypothesis Testing and Statistical Significance

Type I and Type Ii Errors

Interpreting the Strength and Importance of Relationships

The T-Test

Analysis of Variance

Cross Tabulation and Chi-Square

Correlation

Regression Analysis

Applications to Single-System Evaluation Designs

Filters