Question 1

Measures of dispersion

Accepted Answer

A)  represent a measure of distance along a score distribution 
B)  cannot be used to describe a group 
C)  describe a central point on a score distribution 
D)  none of the above 
A)  represent a measure of distance along a score distribution 
B)  cannot be used to describe a group 
C)  describe a central point on a score distribution 
D)  none of the above A

Question 2

If you are measuring the spread of data in a distribution, it is best to use the median in all formulas to avoid having a problem with extremes.

Accepted Answer

A) True 
 B)False  False

Question 3

A score of zero represents which concept below?

Accepted Answer

A)  the standard deviation if you remove the square root sign 
B)  an absolute 
C)  extremes 
D)  homogeneity 
A)  the standard deviation if you remove the square root sign 
B)  an absolute 
C)  extremes 
D)  homogeneity D

Question 4

The standard deviation is called that because it represents a "standard" approach to measuring variation.

Accepted Answer

A) True 
 B)False

Question 5

If the scores in a distribution are close to each other, those scores are

Accepted Answer

A)  homodistributed 
B)  heterospread 
C)  homogeneous 
D)  heterogeneous 
A)  homodistributed 
B)  heterospread 
C)  homogeneous 
D)  heterogeneous

Question 6

The standard deviation is a univariate statistic.

Accepted Answer

A) True 
 B)False

Question 7

The range:

Accepted Answer

A)  is the average of the summed medians in a group of samples 
B)  is affected by extreme scores (outliers) 
C)  is useful in many of the more advanced statistics 
D)  none of the above 
A)  is the average of the summed medians in a group of samples 
B)  is affected by extreme scores (outliers) 
C)  is useful in many of the more advanced statistics 
D)  none of the above

Question 8

Dispersion measured by using extremes is a better approach than dispersion measured by using the distance between a score and its central point.

Accepted Answer

A) True 
 B)False

Question 9

The concept of distance can be something so simple as subtracting a group mean from any of its scores.

Accepted Answer

A) True 
 B)False

Question 10

Perfect homogeneity occurs when

Accepted Answer

A)  all scores are the same 
B)  all scores are different 
C)  scores are as far apart as possible for the scale on which they are being measured 
D)  none of the above, "perfect" homogeneity is impossible to achieve. 
A)  all scores are the same 
B)  all scores are different 
C)  scores are as far apart as possible for the scale on which they are being measured 
D)  none of the above, "perfect" homogeneity is impossible to achieve.

Question 11

The number of scores can have a greater effect on the size of a dispersion value than the actual spread in the data.

Accepted Answer

A) True 
 B)False

Question 12

The general concept of dispersion or variation is represented best by which item below?

Accepted Answer

A)  the degree of movement in a data distribution away from the extremes 
B)  any measure of difference between one set of scores and another 
C)  the amount of spread in a data distribution 
D)  an estimation of the degree of error in using any one score as the homogeneous center of a distribution 
A)  the degree of movement in a data distribution away from the extremes 
B)  any measure of difference between one set of scores and another 
C)  the amount of spread in a data distribution 
D)  an estimation of the degree of error in using any one score as the homogeneous center of a distribution

Question 13

Which of these measures use an interval level measurement?

Accepted Answer

A)  range 
B)  standard deviation 
C)  variance 
D)  all of the above 
A)  range 
B)  standard deviation 
C)  variance 
D)  all of the above

Question 14

Using the total distance between all scores and their mean produces

Accepted Answer

A)  a large degree of variance that must be minimized by taking the square root of the result 
B)  the concept of total score distance, which is then used in sophisticated statistics 
C)  the minimum possible amount of total dispersion created by a differencing technique 
D)  the concept of mean distance, which is then used in sophisticated statistics 
A)  a large degree of variance that must be minimized by taking the square root of the result 
B)  the concept of total score distance, which is then used in sophisticated statistics 
C)  the minimum possible amount of total dispersion created by a differencing technique 
D)  the concept of mean distance, which is then used in sophisticated statistics

Question 15

The expression (x - 0) in a statistical formula can be called:

Accepted Answer

A)  a diminishing technique 
B)  a mathematical correction 
C)  a distancing technique or a deviation score 
D)  standardization 
A)  a diminishing technique 
B)  a mathematical correction 
C)  a distancing technique or a deviation score 
D)  standardization

Question 16

It you measure the highest and lowest scores in a set of data and determine the distance between them, you have

Accepted Answer

A)  the standard deviation 
B)  the range 
C)  the semi-interquartile distance 
D)  none of the above 
A)  the standard deviation 
B)  the range 
C)  the semi-interquartile distance 
D)  none of the above

Question 17

If you wanted to express the variation or dispersion of a group in its original measurement terms, you would use the variance statistic.

Accepted Answer

A) True 
 B)False

Question 18

The variance can be used with

Accepted Answer

A)  interval or ratio level data 
B)  ordinal or nominal level data 
C)  ordinal or interval level data 
D)  nominal or ratio level data 
A)  interval or ratio level data 
B)  ordinal or nominal level data 
C)  ordinal or interval level data 
D)  nominal or ratio level data

Question 19

Which of the following is the average squared distance of each score from its mean?

Accepted Answer

A)  variance 
B)  error 
C)  standard deviation 
D)  average deviation 
A)  variance 
B)  error 
C)  standard deviation 
D)  average deviation

Question 20

If the standard deviation statistic is used, what must the level of measurement of the variable be?

Accepted Answer

A)  ordinal 
B)  nominal 
C)  ratio 
D)  interval 
A)  ordinal 
B)  nominal 
C)  ratio 
D)  interval

Measures of dispersion

If you are measuring the spread of data in a distribution, it is best to use the median in all formulas to avoid having a problem with extremes.

A score of zero represents which concept below?

The standard deviation is called that because it represents a "standard" approach to measuring variation.

If the scores in a distribution are close to each other, those scores are

The standard deviation is a univariate statistic.

The range:

Dispersion measured by using extremes is a better approach than dispersion measured by using the distance between a score and its central point.

The concept of distance can be something so simple as subtracting a group mean from any of its scores.

Perfect homogeneity occurs when

The number of scores can have a greater effect on the size of a dispersion value than the actual spread in the data.

The general concept of dispersion or variation is represented best by which item below?

Which of these measures use an interval level measurement?

Using the total distance between all scores and their mean produces

The expression (x - 0) in a statistical formula can be called:

It you measure the highest and lowest scores in a set of data and determine the distance between them, you have

If you wanted to express the variation or dispersion of a group in its original measurement terms, you would use the variance statistic.

The variance can be used with

Which of the following is the average squared distance of each score from its mean?

If the standard deviation statistic is used, what must the level of measurement of the variable be?

Introduction to Statistics

Levels of Measurement

Graphical Statistics

Measures of Central Tendency

Curves and Distributions

Frequency Distributions

Elementary Relationships: Crosstabulation Tables

Hypotheses and Sampling Distributions

Statistical Significance

Testing for Significance: the Chi-Square Test

Testing for Significance in Two Groups: The T-Test

Testing for Significance in Multiple Groups: The Analysis of Variance Statistic

The Concept of Association

Testing for Association: Phi

Testing for Association: Pearsons R and Regression

Doing Real Research: Elementary Multivariate Relationships

Statistics and Data Analysis

Filters

Exam 5: Measures of Dispersion

Measures of dispersion

If you are measuring the spread of data in a distribution, it is best to use the median in all formulas to avoid having a problem with extremes.

A score of zero represents which concept below?

The standard deviation is called that because it represents a "standard" approach to measuring variation.

If the scores in a distribution are close to each other, those scores are

The standard deviation is a univariate statistic.

The range:

Dispersion measured by using extremes is a better approach than dispersion measured by using the distance between a score and its central point.

The concept of distance can be something so simple as subtracting a group mean from any of its scores.

Perfect homogeneity occurs when

The number of scores can have a greater effect on the size of a dispersion value than the actual spread in the data.

The general concept of dispersion or variation is represented best by which item below?

Which of these measures use an interval level measurement?

Using the total distance between all scores and their mean produces

The expression (x - 0) in a statistical formula can be called:

It you measure the highest and lowest scores in a set of data and determine the distance between them, you have

If you wanted to express the variation or dispersion of a group in its original measurement terms, you would use the variance statistic.

The variance can be used with

Which of the following is the average squared distance of each score from its mean?

If the standard deviation statistic is used, what must the level of measurement of the variable be?

Introduction to Statistics

Levels of Measurement

Graphical Statistics

Measures of Central Tendency

Curves and Distributions

Frequency Distributions

Elementary Relationships: Crosstabulation Tables

Hypotheses and Sampling Distributions

Statistical Significance

Testing for Significance: the Chi-Square Test

Testing for Significance in Two Groups: The T-Test

Testing for Significance in Multiple Groups: The Analysis of Variance Statistic

The Concept of Association

Testing for Association: Phi

Testing for Association: Pearsons R and Regression

Doing Real Research: Elementary Multivariate Relationships

Statistics and Data Analysis

Filters