Question 1

Explain why religious preference is not an ordinal variable.

Accepted Answer

The values of religi

Question 2

Data that contains information on two variables is called ____________________ data.

Accepted Answer

The answer of Data that contains information on two variables...

Question 3

Give an example of interval data that can also be treated as ordinal data and nominal data.

Accepted Answer

Example: Your actual age is in

Question 4

The Dean of Students conducted a survey on campus.Class rank (Freshman,Sophomore,Junior,and Senior)is an example of a(n)____________________ variable.

Accepted Answer

The answer of The Dean of Students conducted a survey...

Question 5

Business School Graduates
A sample of business school graduates were asked what their major was.The results are shown in the following frequency distribution.
 $$\begin{array} { | l | l | } 
\hline \text { Majar of Graduates } & \text { Number of gradiuates } \
\hline \text { Accounting } & 58 \
\text { Finance } & 42 \
\text { Management } & 38 \
\text { Marketing } & 52 \
\text { Other } & 10 \
\hline
\end{array}$$
-{Business School Graduates Narrative} If you were only given the frequency bar chart below,would you able to reconstruct the original observations in the data set?

Accepted Answer

No;you cannot reconstruct the original d

Question 6

A bar chart is used to represent ____________________ data.

Accepted Answer

nominal
ca

Question 7

All-Nighters
A sample of 400 students at a certain university was taken after the midterm;200 students reported staying up all night before the midterm and the other 200 students did not.Researchers recorded whether each student did well or poorly on the midterm.The following table contains the results.
Did Well on Did Poorly on
Midterm Midterm
Stayed up all night 60 140
Did not stay up all night 120 80
-{All-Nighters Narrative} There is a relationship between whether or not a student stayed up all night before the midterm,and how well they did on the midterm.Describe this relationship using percentages.

Accepted Answer

Of those who stayed up all nig

Question 8

Car Buyers
Forty car buyers were asked to indicate which car dealer offered the best overall service.The four choices were Contour Motors (C),Modern Chrysler (M),Tonneau Auto (T),and Uncanny Chevrolet (U).The following data were obtained:
 $\begin{array}{llllllllll}
\mathrm{T} & \mathrm{C} & \mathrm{C} & \mathrm{C} & \mathrm{U} & \mathrm{C} & \mathrm{M} & \mathrm{T} & \mathrm{C} & \mathrm{U} \
\mathrm{U} & \mathrm{M} & \mathrm{C} & \mathrm{M} & \mathrm{T} & \mathrm{C} & \mathrm{M} & \mathrm{M} & \mathrm{C} & \mathrm{M} \
\mathrm{T} & \mathrm{C} & \mathrm{C} & \mathrm{T} & \mathrm{U} & \mathrm{M} & \mathrm{M} & \mathrm{C} & \mathrm{C} & \mathrm{T} \
\mathrm{T} & \mathrm{H} & \mathrm{C} & \mathrm{H} & \mathrm{T} & \mathrm{M} & \mathrm{M} & \mathrm{C} & \mathrm{H} & \mathrm{T}
\end{array}$ 
-{Car Buyers Narrative} Construct a pie chart of this data.Which car dealer offered the best overall service?

Accepted Answer

@#IMG-DLM& ContourMotors (C)re

Question 9

A cross-classification table is used to describe the relationship between two ____________________ variables.

Accepted Answer

nominal
ca

Question 10

Your gender is a nominal variable.

Accepted Answer

A) True 
 B)False

Question 11

A pie chart is used to represent ____________________ data.

Accepted Answer

nominal
ca

Question 12

A cross-classification table is the same thing as two frequency distribution tables,one for each variable.

Accepted Answer

A) True 
 B)False

Question 13

In a pie chart,each slice is proportional to the ____________________ of individuals in that category.

Accepted Answer

percentage

Question 14

To evaluate two nominal variables at the same time,a(n)____________________ table should be created from the data.

Accepted Answer

cross-clas

Question 15

Values must represent ordered rankings for what type of data?

Accepted Answer

A)  Interval data 
B)  Nominal data 
C)  Ordinal data 
D)  None of these choices. 
A)  Interval data 
B)  Nominal data 
C)  Ordinal data 
D)  None of these choices.

Question 16

If two nominal variables are unrelated,then the patterns exhibited in their corresponding pie charts should be approximately the same.If some relationship exists,then some pie charts will differ from others.

Accepted Answer

A) True 
 B)False

Question 17

A relative frequency distribution lists the categories and their counts.

Accepted Answer

A) True 
 B)False

Question 18

Your age group (1-9;10-19;20-29;30-39;etc. )is an interval variable.

Accepted Answer

A) True 
 B)False

Question 19

Two hundred males and two hundred females were asked whether or not college baseball should have a playoff system (yes/no/undecided).Pie charts of the responses for males vs.females are shown below.Which of the following describes the relationship between gender and opinion?

Accepted Answer

A)  A higher percentage of males want a playoff system compared to females. 
B)  More males than females are undecided on this issue. 
C)  Gender and opinion on a playoff system are related. 
D)  All of these choices are true. 
A)  A higher percentage of males want a playoff system compared to females. 
B)  More males than females are undecided on this issue. 
C)  Gender and opinion on a playoff system are related. 
D)  All of these choices are true.

Question 20

Car Buyers
Forty car buyers were asked to indicate which car dealer offered the best overall service.The four choices were Contour Motors (C),Modern Chrysler (M),Tonneau Auto (T),and Uncanny Chevrolet (U).The following data were obtained:
 $\begin{array}{llllllllll}
\mathrm{T} & \mathrm{C} & \mathrm{C} & \mathrm{C} & \mathrm{U} & \mathrm{C} & \mathrm{M} & \mathrm{T} & \mathrm{C} & \mathrm{U} \
\mathrm{U} & \mathrm{M} & \mathrm{C} & \mathrm{M} & \mathrm{T} & \mathrm{C} & \mathrm{M} & \mathrm{M} & \mathrm{C} & \mathrm{M} \
\mathrm{T} & \mathrm{C} & \mathrm{C} & \mathrm{T} & \mathrm{U} & \mathrm{M} & \mathrm{M} & \mathrm{C} & \mathrm{C} & \mathrm{T} \
\mathrm{T} & \mathrm{H} & \mathrm{C} & \mathrm{H} & \mathrm{T} & \mathrm{M} & \mathrm{M} & \mathrm{C} & \mathrm{H} & \mathrm{T}
\end{array}$ 
-{Car Buyers Narrative} Construct a frequency bar chart of this data.Which car dealer came in last place in terms of overall service?

Accepted Answer

@#IMG-DLM& Uncanny Chevrolet (U)received

Exam 2: Graphical Descriptive Techniques I

Explain why religious preference is not an ordinal variable.

Data that contains information on two variables is called ____________________ data.

Give an example of interval data that can also be treated as ordinal data and nominal data.

The Dean of Students conducted a survey on campus.Class rank (Freshman,Sophomore,Junior,and Senior)is an example of a(n)____________________ variable.

A bar chart is used to represent ____________________ data.

A cross-classification table is used to describe the relationship between two ____________________ variables.

Your gender is a nominal variable.

A pie chart is used to represent ____________________ data.

A cross-classification table is the same thing as two frequency distribution tables,one for each variable.

In a pie chart,each slice is proportional to the ____________________ of individuals in that category.

To evaluate two nominal variables at the same time,a(n)____________________ table should be created from the data.

Values must represent ordered rankings for what type of data?

If two nominal variables are unrelated,then the patterns exhibited in their corresponding pie charts should be approximately the same.If some relationship exists,then some pie charts will differ from others.

A relative frequency distribution lists the categories and their counts.

Your age group (1-9;10-19;20-29;30-39;etc. )is an interval variable.

Two hundred males and two hundred females were asked whether or not college baseball should have a playoff system (yes/no/undecided).Pie charts of the responses for males vs.females are shown below.Which of the following describes the relationship between gender and opinion?

What Is Statistics

Graphical Descriptive Techniques II

A: Numerical Descriptive Techniques

B: Numerical Descriptive Techniques

C: Numerical Descriptive Techniques

Data Collection and Sampling

Probability

A: Random Variables and Discrete Probability Distributions

B: Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Chi-Squared Tests

A: Simple Linear Regression and Correlation

B: Simple Linear Regression and Correlation

Multiple Regression

Model Building

Nonparametric Statistics

Time-Series Analysis and Forecasting

Statistical Process Control

Decision Analysis

Conclusion

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