day 9- Team F (parveen Rathee)

Data until analyzed to compared from all aspects not considered a best , and whole story is built on that concept which help the management of the firm conducting the research to derive to a final solution  and a story is build that help us in anlysing the present situation and compare accordingly how to release their marketing strategies is very important

To Do so we use following Method

1) First Level Analysis- Frequency analysis , Cross tab Analysis with variables considered to be effecting maximum

2) Cluster Analysis – Depending upon no. of variable K- Mean and Hierarachical cluster Analysis

3) Factor Analysis –

4) Discriminant Analysis- it is done between group variable and independent variables, points to remember

              i.            In Discriminant analysis , all variables are normally distributed ,

            ii.            Grouping variable need to a Binnary variable with some define option or group in any range from 1 or 2 or upto 4

           iii.            Make sure the range is defined as per variable view in data sheet

          iv.            Make sure you had checked in statistics option , “means’ and ‘unstandardized’ option

            v.            In Classify option check “summary table”

This  help in analysisng where our predictions gone right and where wrong…..

in other words our prediction and original response match or not and help in prediction that our research model is correct

eg:;- we find that 75.4 % o the original group cases correctly classify mean we can work on this classification and analysis model and changes for our future prediction being true is having a probability of 75.4 %

This analysis would help the management to work on a defined line to work with their down line front staff on working on those criteria’s 

Further this help Management and companies to form an regression equation and analyse the predicted behavior and risk associated with the solution and an standard line of work 

- By parveen Rathee

Team F