Question 1

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 C

Question 2

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 B

Question 3

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 A

Question 4

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

Question 5

Continuous variables,like age,are best represented in frequency distributions.

Accepted Answer

A) True 
 B)False

Question 6

When grouping data for a frequency distribution,you should

Accepted Answer

A) use at least 6 and not more 15 categories 
B) use at least 10 and not more than 25 categories 
C) divide the total number of values by 4 to create quartiles 
D) use as many categories as is necessary to create a normal distribution 
A) use at least 6 and not more 15 categories 
B) use at least 10 and not more than 25 categories 
C) divide the total number of values by 4 to create quartiles 
D) use as many categories as is necessary to create a normal distribution

Question 7

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 8

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 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

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

Accepted Answer

A) True 
 B)False

Question 11

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 12

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 13

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

Accepted Answer

A) True 
 B)False

Question 14

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

Accepted Answer

A) True 
 B)False

Question 15

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 16

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 17

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

Question 18

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

Accepted Answer

A) True 
 B)False

Question 19

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

Accepted Answer

A) True 
 B)False

Question 20

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

Accepted Answer

A) True 
 B)False

Exam 7: Frequency Distributions

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

In grouped frequency distributions

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

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?

Continuous variables,like age,are best represented in frequency distributions.

When grouping data for a frequency distribution,you should

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

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

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

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

A frequency distribution is an example of a

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

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

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

Frequency distributions are a good way

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

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

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.

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

Box Plots

Skewness and Kurtosis

Ordinal-Level Tests of Significance

Multiple Comparison Tests

Nominal Level Tests of Association

Ordinal Level Tests of Association

Addendum Probability

Filters