Test Bank - for Business Statistics A Decision-Making Approach 10th Edition by David Groebner, All Chapters

, Chiefg Academicg Officer




Author:gRitikagIsraney
ReviewedgBy:gProf.gKalicharangSabat




Copyright:
2021gPublisher
ISBN:
978-93-90457-76-2
Address:
4435/7,gAnsarigRoad,gDaryaganj,gNewgDelhi–
110002gOnlygfor
NMIMSgGlobalgAccessg-gSchoolgforgContinuinggEducationgSchoolgAddress
V.gL.gMehtagRoad,gVilegParleg(W),gMumbaig–g400g056,gIndia.




NMIMSg Globalg Accessg -
g Schoolg forg Continuingg Education

,CHAPTERgNO. CHAPTERgNAME PAGEgNO.


1 Introductiong tog Statistics 1


2 DatagCollection 25


3 DatagClassification,gTabulationgandgPresentation 53


Caseg Studiesg 1g tog 3 73


4 DescriptivegStatisticsgforgUnivariategData 79


5 MeasuresgofgDispersion,gSkewnessgandgKurtosis 103

DescriptivegStatisticsgforgBivariategDatag–
6 135
gCorrelation gAnalysis




Caseg Studiesg 4g tog 6 153

DescriptivegStatisticsgforgBivariategDatag–
7 159
gRegression gAnalysis




8 IndexgNumbers 181


9 Forecasting 203


Caseg Studiesg 7g tog 9 223


10 ProbabilitygTheory 227


11 ProbabilitygDistributions 247


12 ApplicationgofgStatisticalgTechniquesgingMSgExcel 273


Caseg Studiesg 10g tog 12 321




NMIMSg Globalg Accessg -
g Schoolg forg Continuingg Education

, IntroductiongtogStatistics:gStatistics–Scope,gFunctions,gLimitations,gImportance,gTypesgofgStatis-
gtics,gDescriptivegStatistics,gInferentialgStatistics,gSome gBasicgConcepts–Population,gSample,gVari-

gable,gAttribute,gParameter, gStatistic.




DatagCollection:gData,gTypesgofgData,gDatagSources,gMethodsgofgCollectinggPrimarygData,gObser-
gvationgMethod g–

gDirect gand gIndirect,gQuestionnaire gMethod, gInformation gfromgCorrespondents, gSurveygMethods,g

Interviews,gDesigninggthegQuestionnaire,gTypegofgQuestionnaires,gGuidelinesg forgQuestionnaireg
Design,gCollectinggSecondarygData,gPublishedgSources,gUnpublishedgSources,gCensusgMethod,gAdv
antagesgofgCensusgMethod,gDisadvantagesgofgCensusgMethod,gSamplegSur-
gvey,gObjective gofgSampling, gSampling gMethods,gAdvantagesgofgSamplinggMethod,gDisadvantagesgo

fgSamplinggMethod,gSamplinggUnit,gSamplegFrame.



DatagClassification,gTabulationgandgPresentation:gDatagClassification,gRequisitesgofgIdealgClassi-
gfication,gBasisgofgClassification,gOrganisinggDatagusing gArrays,gFrequencygDistributions,gExclusive

gand gInclusivegMethods gofgData gClassification,gDatagTabulation,gObjectivesgofgTabulation, gTypesgof

gTables,gMulti-dimensional gTables,gVisualgPresentationgofgData, gTypesgofgGraphsgand gDiagrams.




DescriptivegStatisticsgforgUnivariategData:gUnivariategDatagandgBivariategData,gMeasuresgofgCen-
gtralgTendency–

ArithmeticgMean,gMedian,gMode,gRelationshipgofgthegMean,gMediangandgMode,gGeo-
gmetric gMean,gWeighted gGeometric gMean.




MeasuresgofgDispersion,gSkewnessgandgKurtosis:gDispersion,gMeasuresgofgDispersion,gRange,gI
nterquartilegRangegandgQuartilegDeviation,gMeangDeviationg(fromgMean,gMediangandgMode),gStan-
gdardgDeviation, gVariance,gCoefficient gofgVariation,gCombined gStandardgDeviation,gSkewness,gMea

-gsuresgofgSkewness,gKurtosis,gTypesgofgKurtosis,gMeasuresgofgKurtosis.



DescriptivegStatisticsgforgBivariategDatag–gCorrelationgAnalysis:gCorrelation,gTypesgofgCorrela-
gtion,gCovariance,gCorrelationgAnalysis, gScattergDiagram,gKarlgPearson’sgCoefficientgofgCorrelation.




DescriptivegStatisticsgforgBivariategDatag–
gRegressiongAnalysis: gRegression,gIndependentgand gDependentgVariables,gDifference gBetweengC

orrelationgandgRegression,gRegressiongAnalysis,gLin-
geargBivariategRegression, gRegressiongLines,gRegressiongEquations,gPropertiesgofgRegressiongCoef

-gficient.


NMIMSg Globalg Accessg -
g Schoolg forg Continuingg Education