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Data Analysis

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sikander kushwaha

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Presented By: Shankar Kumud Kushwaha Sikander
Data Analysis is ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
[object Object],11/06/09 XIDAS, Jabalpur
Major Data Analysis Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
CORRELATION ANALYSIS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
Cont.. ,[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
Diagrammatic presentation “r” 11/06/09 XIDAS, Jabalpur R=0.5 R=1 R= -0.5
Regression analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
Cont.. ,[object Object],11/06/09 XIDAS, Jabalpur
Factor Analysis ,[object Object],[object Object],11/06/09 XIDAS, Jabalpur Types of Factor Analysis Factor Analysis Exploratory  Confirmatory
Use of Factor Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
CLUSTER ANALYSIS ,[object Object],11/06/09 XIDAS, Jabalpur
BRAND MAPPING (CORRESPONDENCE ANALYSIS) ,[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur
CONJOINT ANALYSIS ,[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
Example of C A ,[object Object],11/06/09 XIDAS, Jabalpur
Cont.. 11/06/09 XIDAS, Jabalpur
CHAID ANALYSIS ,[object Object],[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
11/06/09 XIDAS, Jabalpur The output is a tree of which the branches are the predictor variables that split the sample in discriminating groups.
DISCRIMINANT/LOGISTIC REGRESSION ANALYSIS ,[object Object],[object Object],[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
Diagrammatic Presentation 11/06/09 XIDAS, Jabalpur
MULTIDIMENSIONAL SCALING ,[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
MDS methods are applicable to a wide variety of research designs. 11/06/09 XIDAS, Jabalpur
STRUCTURAL EQUATION MODELING ,[object Object],[object Object],[object Object],11/06/09 XIDAS, Jabalpur
E.g. of a CRM model using survey 11/06/09 XIDAS, Jabalpur
[object Object],11/06/09 XIDAS, Jabalpur

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Data Analysis