Question 1

A grouped frequency distribution is one in which several frequency distributions are grouped together to display multiple variables.

Accepted Answer

A) True 
 B)False  False

Question 2

One of the reasons for using cumulative percentages with a frequency distribution is to be able to interpret groupings among the values.

Accepted Answer

A) True 
 B)False  True

Question 3

Frequency distributions normally meet the criteria for a good statistic.

Accepted Answer

A) True 
 B)False  True

Question 4

Eliminating extremes in a frequency distribution gives you a better picture of where "average" responses are.

Accepted Answer

A) True 
 B)False

Question 5

In a frequency distribution of a variable from a questionnaire, the term missing beside an arbitrary number is used to represent

Accepted Answer

A)  possible answer items to a question where no one respondent selected that answer 
B)  numbers missing from a coded variable scale 
C)  those respondents who did not return the questionnaire 
D)  those respondents missing from a question or item 
A)  possible answer items to a question where no one respondent selected that answer 
B)  numbers missing from a coded variable scale 
C)  those respondents who did not return the questionnaire 
D)  those respondents missing from a question or item

Question 6

Grouped frequency distributions are commonly used with

Accepted Answer

A)  cardinal numbers 
B)  nominal- and ordinal-level data 
C)  interval- and ratio-level data 
D)  numbers that are rounded off to the nearest decile 
A)  cardinal numbers 
B)  nominal- and ordinal-level data 
C)  interval- and ratio-level data 
D)  numbers that are rounded off to the nearest decile

Question 7

If there are fewer than 25 values, a variable should never be grouped for display in a frequency distribution.

Accepted Answer

A) True 
 B)False

Question 8

One of the most useful columns for interpreting a frequency distribution is the one labeled

Accepted Answer

A)  cumulative percent 
B)  percent 
C)  frequencies 
D)  quartiles 
A)  cumulative percent 
B)  percent 
C)  frequencies 
D)  quartiles

Question 9

If you have a substantial number of missing answers in a frequency distribution, you would prefer to use

Accepted Answer

A)  a grouped frequency distribution 
B)  the percent column 
C)  the valid percent column 
D)  the non-missing column 
A)  a grouped frequency distribution 
B)  the percent column 
C)  the valid percent column 
D)  the non-missing column

Question 10

When the term "frequency" is used statistics, it means

Accepted Answer

A)  the number of cases in a category or value 
B)  the length of a dispersion line 
C)  an array of 10 or more numbers 
D)  none of the above 
A)  the number of cases in a category or value 
B)  the length of a dispersion line 
C)  an array of 10 or more numbers 
D)  none of the above

Question 11

In grouped frequency distributions

Accepted Answer

A)  make sure that all categories have no more than 5 original values 
B)  each case should fit into only one category 
C)  each case should be greater than the last one 
D)  all of the above 
A)  make sure that all categories have no more than 5 original values 
B)  each case should fit into only one category 
C)  each case should be greater than the last one 
D)  all of the above

Question 12

A frequency distribution would represent which of the types of statistics below?

Accepted Answer

A)  descriptive 
B)  inferential 
C)  predictive 
D)  a and c above 
A)  descriptive 
B)  inferential 
C)  predictive 
D)  a and c above

Question 13

One of the best ways to interpret a frequency distribution is to

Accepted Answer

A)  determine where the extremes are 
B)  use the middle 90 percent of the data to find the majority 
C)  determine where the middle of the values might be 
D)  keep missing values in the percentages so that you discuss all of the cases 
A)  determine where the extremes are 
B)  use the middle 90 percent of the data to find the majority 
C)  determine where the middle of the values might be 
D)  keep missing values in the percentages so that you discuss all of the cases

Question 14

When interpreting a frequency distribution, you should use words, not numbers.

Accepted Answer

A) True 
 B)False

Question 15

As a normal practice, the category intervals of grouped data should be of equal size.

Accepted Answer

A) True 
 B)False

Question 16

Whenever there are missing cases, it is best to use valid percentages rather than total percentages.

Accepted Answer

A) True 
 B)False

Question 17

A frequency distribution is an example of a

Accepted Answer

A)  univariate statistical technique 
B)  graphical statistic 
C)  dispersion technique that is useful for correcting problems with the standard deviation 
D)  multivariate statistical technique 
A)  univariate statistical technique 
B)  graphical statistic 
C)  dispersion technique that is useful for correcting problems with the standard deviation 
D)  multivariate statistical technique

Question 18

Rather than discussing the middle values in a frequency distribution, you should focus on the extreme values.

Accepted Answer

A) True 
 B)False

Question 19

Frequency distributions are a good way

Accepted Answer

A)  to display bivariate information 
B)  to display continuous data in the form of a graphic 
C)  to interpret public opinion from survey questions 
D)  to interpret the error present in estimates of dispersion 
A)  to display bivariate information 
B)  to display continuous data in the form of a graphic 
C)  to interpret public opinion from survey questions 
D)  to interpret the error present in estimates of dispersion

Question 20

If you have a frequency distribution for a variable (like age...) with many values, what can you do to create a frequency distribution that gives a better picture of the data?

Accepted Answer

A)  group the data into no more than 15 classes 
B)  calculate a mean 
C)  add a column for the cumulative percent of cases 
D)  draw a graphic 
A)  group the data into no more than 15 classes 
B)  calculate a mean 
C)  add a column for the cumulative percent of cases 
D)  draw a graphic

A grouped frequency distribution is one in which several frequency distributions are grouped together to display multiple variables.

One of the reasons for using cumulative percentages with a frequency distribution is to be able to interpret groupings among the values.

Frequency distributions normally meet the criteria for a good statistic.

Eliminating extremes in a frequency distribution gives you a better picture of where "average" responses are.

In a frequency distribution of a variable from a questionnaire, the term missing beside an arbitrary number is used to represent

Grouped frequency distributions are commonly used with

If there are fewer than 25 values, a variable should never be grouped for display in a frequency distribution.

One of the most useful columns for interpreting a frequency distribution is the one labeled

If you have a substantial number of missing answers in a frequency distribution, you would prefer to use

When the term "frequency" is used statistics, it means

In grouped frequency distributions

A frequency distribution would represent which of the types of statistics below?

One of the best ways to interpret a frequency distribution is to

When interpreting a frequency distribution, you should use words, not numbers.

As a normal practice, the category intervals of grouped data should be of equal size.

Whenever there are missing cases, it is best to use valid percentages rather than total percentages.

A frequency distribution is an example of a

Rather than discussing the middle values in a frequency distribution, you should focus on the extreme values.

Frequency distributions are a good way

If you have a frequency distribution for a variable (like age...) with many values, what can you do to create a frequency distribution that gives a better picture of the data?

Introduction to Statistics

Levels of Measurement

Graphical Statistics

Measures of Central Tendency

Measures of Dispersion

Curves and 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 7: Frequency Distributions

A grouped frequency distribution is one in which several frequency distributions are grouped together to display multiple variables.

One of the reasons for using cumulative percentages with a frequency distribution is to be able to interpret groupings among the values.

Frequency distributions normally meet the criteria for a good statistic.

Eliminating extremes in a frequency distribution gives you a better picture of where "average" responses are.

In a frequency distribution of a variable from a questionnaire, the term missing beside an arbitrary number is used to represent

Grouped frequency distributions are commonly used with

If there are fewer than 25 values, a variable should never be grouped for display in a frequency distribution.

One of the most useful columns for interpreting a frequency distribution is the one labeled

If you have a substantial number of missing answers in a frequency distribution, you would prefer to use

When the term "frequency" is used statistics, it means

In grouped frequency distributions

A frequency distribution would represent which of the types of statistics below?

One of the best ways to interpret a frequency distribution is to

When interpreting a frequency distribution, you should use words, not numbers.

As a normal practice, the category intervals of grouped data should be of equal size.

Whenever there are missing cases, it is best to use valid percentages rather than total percentages.

A frequency distribution is an example of a

Rather than discussing the middle values in a frequency distribution, you should focus on the extreme values.

Frequency distributions are a good way

If you have a frequency distribution for a variable (like age...) with many values, what can you do to create a frequency distribution that gives a better picture of the data?

Introduction to Statistics

Levels of Measurement

Graphical Statistics

Measures of Central Tendency

Measures of Dispersion

Curves and 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