Neeran, this paper would be useful for you:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id

Neeran, this paper would be useful for you:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id

None. Statistics is important, but it doesn't matter much what software you use to do it.

SPSS means the statistical package for social sciences. It has a wide coverage of problem solving: t-test, z-test, ANOVA, f-test, nonparametric methods, Bartlett test, regression analysis, time series analysis, multivariate techniques, etc. It is user-friendly.

I agree with Ette

thanks for all ...greeting

It is a wonderful multipurpose program used in statistical analysis characters with accuracy in data analysis for many tests as Dr. Ette Etuk mentioned above.

Python and R can also be used for data analysis and both are open source. Now a days open source s/w are more used.

thanks De.Ali and Dr. Shanti

Dear Neeran

In quantitative scientific research, we need to present data in meaningful manner to come out with reasonable conclusions. Small sized data ,may be handled manually or using pocket calculator. If large set of data exists, then a statistical package is required. SPSS is one of these packages. When the data are correctly fed on SPSS, it can be a useful data base. SPSS is very helpful in data checking, in simple tabular presentation and in complex statistical analysis. A researcher handling numerical data and postgraduate candidates need to have and to know how to use SPSS or other packages.