TEST BANK FOR
Introduction to Business Analytics 1st Edition Vernon J. Richardson Marcia
Weiden Chapter 1-11
Answers are at the End of Each Chapter
Chapter 1
Student name:
TRUE/FALSE - Write 'T' if the statement is true and 'F' if the statement is false.
1) A business process is a coordinated, standardized set of activities conducted by both people
and equipment to accomplish a specific business task.
⊚ true
⊚ false
2) A business analyst is a data scientist who collects data to help an organization make
effective business decisions.
⊚ true
⊚ false
3) Data is defined as information organized in a meaningful way to be useful to the user.
⊚ true
⊚ false
4) Information is defined as being data organized in a meaningful way to be useful to the user in
a given context.
⊚ true
⊚ false
5) A data scientist is a liaison between decision makers and business analysts.
⊚ true
⊚ false
6) Operations analytics uses business analytics to measure and improve the efficiency and
effectiveness of the company’s operations.
⊚ true
⊚ false
,7) The third step in the SOAR analytics model is to Access the data.
⊚ true
⊚ false
8) Exploratory data visualization is used to communicate results of the analysis to decision
makers and other stakeholders.
⊚ true
⊚ false
CHECK ALL THE APPLY. Choose all options that best completes the statement or
answers the question.
9) A visualization may be used to help with which component of the SOAR model?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results
MULTIPLE CHOICE - Choose the one alternative that best completes the statement or
answers the question.
10) The difficulty a person faces in understanding a problem and making a decision as a
consequence of having too much data.
A) Data Complexity
B) Data Overload
C) Analytics Mindset
D) Data Challenges
11) Which step of the SOAR model would usually involve computing an average?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results
12) Which step of the SOAR model most appropriately addresses the skill mentioned by EY’s
analytics mindset of “extract, transform and oload orelevant odata”?
A) Specify othe oQuestion
B) Obtain othe oData
C) Analyze othe oData
D) Report othe oResults
,13) Use oof oa odashboard oto otrack orelevant ooutcomes owould obe oconsistent owith owhich
ocomponent oof othe oSOAR omodel?
A) Specify othe oQuestion
B) Obtain othe oData
C) Analyze othe oData
D) Report othe oResults
14) What otype oof oquestion(s) oworks oto oexplain o“Why odid onet oincome oincrease oeven
othough osales odid onot?”
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
15) What otype oof oquestion ois oused oin ofinding othe olevel oof osales oneeded oto obreak oeven
o(exactly ozero oprofit)?
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
16) What otype oof oquestion ois o“How olong owill oit otake ofor oChristmas oproducts oto oarrive oat
oour ostores oif owe osource othe oproducts ofrom oMexico orather othan oIndonesia?”
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
, 17) What otype oof oquestion ois o“Should owe osource oour oproducts ofrom oMexico
orather othan oIndonesia?”
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
18) What otype oof oquestion ois opredicting owhether oborrowers owill obe oable oto orepay otheir oloans?
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
19) What otype oof oquestion ois oused oin odetermining ohow oto omaximize orevenues oif othere
ois oa otrade owar owith oanother ocountry?
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
20) What oterm ois oused oto orefer oto othe oaccuracy, ovalidity oand oconsistency oof odata oused
oand ostored oover otime?
A) Data overacity
B) Data ointegrity
C) Data oquality
D) Truthful odata
21) Dashboards oshowing ocurrent ocompany operformance oare ousually oassociated owith owhat
otype oof oupdating?
A) Dynamic
B) Static
C) Opportunist
D) Monthly
Introduction to Business Analytics 1st Edition Vernon J. Richardson Marcia
Weiden Chapter 1-11
Answers are at the End of Each Chapter
Chapter 1
Student name:
TRUE/FALSE - Write 'T' if the statement is true and 'F' if the statement is false.
1) A business process is a coordinated, standardized set of activities conducted by both people
and equipment to accomplish a specific business task.
⊚ true
⊚ false
2) A business analyst is a data scientist who collects data to help an organization make
effective business decisions.
⊚ true
⊚ false
3) Data is defined as information organized in a meaningful way to be useful to the user.
⊚ true
⊚ false
4) Information is defined as being data organized in a meaningful way to be useful to the user in
a given context.
⊚ true
⊚ false
5) A data scientist is a liaison between decision makers and business analysts.
⊚ true
⊚ false
6) Operations analytics uses business analytics to measure and improve the efficiency and
effectiveness of the company’s operations.
⊚ true
⊚ false
,7) The third step in the SOAR analytics model is to Access the data.
⊚ true
⊚ false
8) Exploratory data visualization is used to communicate results of the analysis to decision
makers and other stakeholders.
⊚ true
⊚ false
CHECK ALL THE APPLY. Choose all options that best completes the statement or
answers the question.
9) A visualization may be used to help with which component of the SOAR model?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results
MULTIPLE CHOICE - Choose the one alternative that best completes the statement or
answers the question.
10) The difficulty a person faces in understanding a problem and making a decision as a
consequence of having too much data.
A) Data Complexity
B) Data Overload
C) Analytics Mindset
D) Data Challenges
11) Which step of the SOAR model would usually involve computing an average?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results
12) Which step of the SOAR model most appropriately addresses the skill mentioned by EY’s
analytics mindset of “extract, transform and oload orelevant odata”?
A) Specify othe oQuestion
B) Obtain othe oData
C) Analyze othe oData
D) Report othe oResults
,13) Use oof oa odashboard oto otrack orelevant ooutcomes owould obe oconsistent owith owhich
ocomponent oof othe oSOAR omodel?
A) Specify othe oQuestion
B) Obtain othe oData
C) Analyze othe oData
D) Report othe oResults
14) What otype oof oquestion(s) oworks oto oexplain o“Why odid onet oincome oincrease oeven
othough osales odid onot?”
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
15) What otype oof oquestion ois oused oin ofinding othe olevel oof osales oneeded oto obreak oeven
o(exactly ozero oprofit)?
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
16) What otype oof oquestion ois o“How olong owill oit otake ofor oChristmas oproducts oto oarrive oat
oour ostores oif owe osource othe oproducts ofrom oMexico orather othan oIndonesia?”
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
, 17) What otype oof oquestion ois o“Should owe osource oour oproducts ofrom oMexico
orather othan oIndonesia?”
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
18) What otype oof oquestion ois opredicting owhether oborrowers owill obe oable oto orepay otheir oloans?
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
19) What otype oof oquestion ois oused oin odetermining ohow oto omaximize orevenues oif othere
ois oa otrade owar owith oanother ocountry?
A) What ohappened? oWhat ois ohappening?
B) Why odid oit ohappen? oWhat oare othe oroot ocauses oof opast oresults?
C) Will oit ohappen oin othe ofuture? oWhat ois othe oprobability osomething owill
ohappen? oIs oit oforecastable?
D) What oshould owe odo obased oon owhat owe oexpect owill ohappen? oHow odo owe
ooptimize oour operformance obased oon opotential oconstraints?
20) What oterm ois oused oto orefer oto othe oaccuracy, ovalidity oand oconsistency oof odata oused
oand ostored oover otime?
A) Data overacity
B) Data ointegrity
C) Data oquality
D) Truthful odata
21) Dashboards oshowing ocurrent ocompany operformance oare ousually oassociated owith owhat
otype oof oupdating?
A) Dynamic
B) Static
C) Opportunist
D) Monthly
