, 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
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
