n n n n n n n n n
with Microsoft Excel 7th Edition Anderson
n n n n n
Chaptern02 n-nDescriptive nStatistics:n Tabularnand nGraphicaln Displays
1. Then minimum n numbern of n variablesn represented n in n an barn chartn isn .
a.n 1
b.n 2
c.n 3
d.n 4
ANSWER: a
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Categoricaln Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.01 n -n 2.1
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Analysis
2. Then minimum n numbern of n variablesn represented n in n an histogram n isn .
a.n 1
b.n 2
c.n 3
d.n 4
ANSWER: a
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Quantitative n Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.02 n -n 2.2
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Analysis
3. Which n of n then followingn graphicaln methodsn isn mostn appropriate n forn categoricaln data?
a. ogive
b. pien chart
c. histogram
d. scattern diagram
ANSWER: b
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Categoricaln Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.01 n -n 2.1
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Analysis
4. In n an stem-and-leaf n display,n .
a. an singlen digitn isn used n to n definen each n stem,n and n an singlen digitn isn used n to n define n each n leaf
b. an singlen digitn isn used n to n definen each n stem,n and n onen orn moren digitsn aren used n to n definen each n leaf
c. onen orn moren digitsn aren used n to n define n each n stem,n and n an singlen digitn isn used n to n definen each n leaf
d. onen orn moren digitsn aren used n to n define n each n stem,n and n onen orn moren digitsn aren used n to n define n each n leaf
CopyrightnCengagenLearning.nPowerednbynCognero. Pagen1
mynursytest.store
,DOWNLOAD THE Test Bank for Essentials of Modern Business Statistics
n n n n n n n n n
with Microsoft Excel 7th Edition Anderson
n n n n n
Chaptern02 n-nDescriptive nStatistics:n Tabularnand nGraphicaln Displays
ANSWER: c
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Quantitative n Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.02 n -n 2.2
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Knowledge
5. An graphicaln method nthatncan n ben used n to n shown both n then rank n ordern and n shapen of n an datan setn simultaneously n isn an .
a. relativen frequency n distribution
b. pien chart
c. stem-and-leaf n display
d. pivotn table
ANSWER: c
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Quantitative n Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.02 n -n 2.2
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Analysis
6. Then propern waynto nconstructnanstem-and-leaf n display n forn then datan setn {62,n 67,n 68,n 73,n 73,n 79,n 91,n 94,n 95,n 97}n isn to n .
a. exclude n an stemn labeled n ‘8’
b. include n an stemn labeled n ‘8’n and n entern no n leavesn on n then stem
c. include n an stemn labeled n ‘(8)’n and n entern no n leavesn on n then stem
d. include n an stemn labeled n ‘8’n and n entern onen leaf n valuen of n ‘0’n on n then stem
ANSWER: b
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Quantitative n Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.02 n -n 2.2
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Knowledge
7. Datan thatn providen labelsn orn namesn forn groupingsn of n liken itemsn aren known n asn .
a. categoricaln data
b. quantitative ndata
c. labeln data
d. genericn data
ANSWER: a
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Categoricaln Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.01 n -n 2.1
CopyrightnCengagenLearning.nPowerednbynCognero. Pagen2
mynursytest.store
, DOWNLOAD THE Test Bank for Essentials of Modern Business Statistics
n n n n n n n n n
with Microsoft Excel 7th Edition Anderson
n n n n n
Chaptern02 n-nDescriptive nStatistics:n Tabularnand nGraphicaln Displays
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Knowledge
8. An researchernisngatheringndatanfromnfourn geographicalnareasndesignated:nSouth n=n1;nNorthn =n2;n Eastn=n 3;nWestn =n4.n Then
designated n geographicaln regionsn representn .
a. categoricaln data
b. quantitative ndata
c. directionaln data
d. eithern quantitative n orn categoricaln data
ANSWER: a
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Categoricaln Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.01 n -n 2.1
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Comprehension
9. An researchernasked n 20 n people n forn theirn zip n code.n Then respondentsn zip n codesn aren an n example n of n .
a. categoricaln data
b. quantitative ndata
c. labeln data
d. category n data
ANSWER: a
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Categoricaln Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.01 n -n 2.1
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Comprehension
10. Then agen of n employeesn atn an company n isn an n example n of n .
a. categoricaln data
b. quantitative ndata
c. labeln data
d. timen seriesn data
ANSWER: b
POINTS: 1
DIFFICULTY: Easy
REFERENCES: SummarizingnDatan forn an Quantitative n Variable
LEARNINGn OBJECTIVES:n MBST.ASWC.18.02.02 n -n 2.2
NATIONALn STANDARDS:n United n Statesn -n Businessn Program.1:n -n Reflective n Thinking
KEYWORDS: Bloom's:n Comprehension
11. An frequency n distribution n isn an .
CopyrightnCengagenLearning.nPowerednbynCognero. Pagen3
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