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Introduction to Business Analytics (1st Edition – Richardson & Watson) – Complete Solution Manual for All Chapters

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This document provides the full solution manual for Introduction to Business Analytics (1st edition) by Vernon Richardson and Marcia Watson. It includes detailed, step-by-step solutions for all chapter exercises, problems, and case applications across topics such as data analytics fundamentals, descriptive analytics, predictive analytics, data visualization, Excel and Tableau skills, and applied business problem-solving. The content is fully aligned with the textbook structure and is suitable for homework support and exam preparation.

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Introduction to Business Analytics
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Introduction to Business Analytics

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Geüpload op
18 november 2025
Aantal pagina's
286
Geschreven in
2025/2026
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Tentamen (uitwerkingen)
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Voorbeeld van de inhoud

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Solution Manual for Introduction to Business Analytics,
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1st Edition
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By Vernon Richardson and Marcia Watson
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Verified Chapter's 1 - 12 | Complete
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TABLE OF CONTENTS po po po




Chapterpo1:poSpecifypothepoQuestion:poUsingpoBusinesspoAnalyticspotopoAddresspoBusinesspoQuestionspopo

Chapterpo2:poObtainpothepoData:poAnpoIntroductionpotopoBusinesspoDatapoSourcespopo

Chapterpo3:poAnalyzepothepoData:poBasicpoStatisticspoandpoToolspoRequiredpoinpoBusinesspoAnalyticspopo

Chapterpo4:poAnalyzepothepoData:poExploratorypoBusinesspoAnalyticspo(DescriptivepoAnalyticspoandpoDiagnosticp
oAnalytics)popo
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Chapterpo5:poAnalyzepothepoData:poConfirmatorypoBusinesspoAnalyticspo(PredictivepoAnalyticspoandpoPrescriptiv
epoAnalytics)popo
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Chapterpo6:poReportpothepoResults:poUsingpoDatapoVisualizationpopo

Chapterpo7:poMarketingpoAnalyticspopo
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Chapterpo8:poAccountingpoAnalyticspopo

Chapterpo9:poFinancialpoAnalyticspopo
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Chapterpo10:poOperationspoAnalyticspopo m
Chapterpo11:poAdvancedpoBusinesspoAnalyticspopo

Chapterpo12:poUsingpothepoSOARpoAnalyticspoModelpotopoPutpoItpoAllpoTogether:poThreepoCapstonepoProjectspopo

, Chapterpo01po–
poSpecifypothepoQuestion:poUsingpoBusinesspoAnalyticspotopoAddresspoBusinesspoQuestio
ns
Chapterpo1poEnd-of-ChapterpoAssignmentpoSolutions
MultiplepoChoicepoQuestions
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ntpotopoaccomplishpoapospecificpobusinesspotaskpoispocalled.
a. businesspoprocesses
b. businesspoanalysis
c. businesspoprocedure
d. businesspovalue

2. (LOpo1.2)poAccordingpotopothepoinformationpovaluepochain,podatapocombinedpowithpocontextpois
a. Information.
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5. (LOpo1.5)poWhichpoquestionsposeekpoinformationpoaboutpoTesla’sposalespoinpotheponextpoquarter?
a. Whatpohappened?poWhatpoispohappening?
b. Whypodidpoitpohappen?poWhatpoarepothepocausespoofpopastporesults?
c. Willpoitpohappenpoinpothepofuture?poWhatpoispothepoprobabilityposomethingpowillpohappen?poCanp
owepoforecastpowhatpowillpohappen?
d. Whatposhouldpowepodo,pobasedpoonpowhatpowepoexpectpowillpohappen?poHowpodopowepooptimizepoour
poperformancepobasedpoonpopotentialpoconstraints?




6. (LOpo1.5)poWhichpoquestionsposeekpoinformationpoonpotheporoutingpoofpoproductspofrompoQueretaro,poM
exicopotopoChicago,poUnitedpoStatespoinpothepolastpoquarter?
a. Whatpohappened?poWhatpoispohappening?
b. Whypodidpoitpohappen?poWhatpoarepothepocausespoofpopastporesults?
c. Willpoitpohappenpoinpothepofuture?poWhatpoispothepoprobabilityposomethingpowillpohappen?poCanpow
epoforecastpowhatpowillpohappen?
d. Whatposhouldpowepodo,pobasedpoonpowhatpowepoexpectpowillpohappen?poHowpodopowepooptimizepoour
poperformancepobasedpoonpopotentialpoconstraints?

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7. po
(LO po1.5)poWhichpoquestionspoaskpowhyponetpoincomepoispoincreasingpowhenporevenuespoarepodecr
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b. Whypodidpoitpohappen?poWhatpoarepothepocausespoofpopastporesults?
c. Willpoitpohappenpoinpothepofuture?poWhatpoispothepoprobabilityposomethingpowillpohappen?poCanpow
epoforecastpowhatpowillpohappen?
d. Whatposhouldpowepodo,pobasedpoonpowhatpowepoexpectpowillpohappen?poHowpodopowepooptimizepoour
poperformancepobasedpoonpopotentialpoconstraints?

8. (LOpo1.5)poWhichpoquestionspohelppomanagerspounderstandpohowpotopoorganizepofutureposhipmentspoba
sedpoonpoexpectedpodemand?
a. Whatpohappened?poWhatpoispohappening?
b. Whypodidpoitpohappen?poWhatpoarepothepocausespoofpopastporesults?
c. Willpoitpohappenpoinpothepofuture?poWhatpoispothepoprobabilityposomethingpowillpohappen?poCanpow
epoforecastpowhatpowillpohappen?
d. Whatposhouldpowepodo,pobasedpoonpowhatpowepoexpectpowillpohappen?poHowpodopowepooptimiz


9.
a
epoourpoperformancepobasedpoonpopotentialpoconstraints?

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a. Datapointegrity
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c. Datapovalue
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d. Informationpovalue
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11. (LOpo1.4)poWhichpotypepoofpoanalystspopredictspothepoamountpoofpomoneypothatpoapocompanypowillporeceivepof
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ntpoperformance,posuchpoaspoinvestmentspoinpoequipmentpoorpoemployeepotraining?
a. Marketingpoanalyst
b. Operationspoanalyst
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d. Accountingpoanalyst

12. (LOpo1.4)poWhichpotypepoofpoanalystpoaddressespoquestionsporegardingpotaxpoandpoauditing?
a. Marketingpoanalyst
b. Operationspoanalyst
c. Financialpoanalyst
d. Accountingpoanalyst

13. (LOpo1.5)poSupposepoapocompanypohaspotimelypoproductporeviewspothatpoarepoavailablepowhenponeeded,po
butpotheporeviewspoarepobiased.poThesepoproductporeviewspoarepowhichpotypepoofpodata?
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©poMcGrawpoHillpoLLC.poAllporightsporeserved.poNoporeproductionpoorpodistributionpowithoutpothepopriorpowrittenpoconsentpoofpoMc
GrawpoHillpoLLC.


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