R (www.r-project.org). It's free, has a large community support and you find that it requires you to think about the questions you are asking the data instead of just applying "out-of-the-box" testing. And yes, you need to spend the time understanding the statistic reasoning, the conditions under which a test applies, or even better start moving from inferential statistics to statistical modelling. Enjoy!

Thank you very much dear Alexander

What are the best resources that can help to handle R program?

Any version should I download from the website you have mentioned above?

The most intuitive program I have ever used for biomedical statistics and plotting of graphs is GraphPad Prism. It is available for both Mac and Windows.

A more powerful and not quite as intuitive program is Origin Pro. It is available only for Windows, but it can be run in a VM on linux or Mac.

Statistica is menu-driven and very comprehensive, but the graphing is not as good as Origin Pro or Prism.

JMP and JMP Pro are very nice for data exploration and visualization. Much more intuitive than SAS. They are available for Mac and Windows.

SAS is a giant and has been a "gold standard", but I think its popularity is waning while the popularity of R is growing.

You could also take a look at Stata (somewhat  like R; cross-platform; steep learning curve) and SPSS (menu driven; cross-platform).

Finally, there is R, which has a very steep learning curve, but its capabilities are vast and continually growing and improving. It is also free and cross-platform.

Dear Rudy J Richardson,

Thanks for so succinct yet comprehensive answer.

May I ask about clarification of what is meant by some terms you have mentioned above?

For example: intuitive, cross-platform & menu driven

I think you mean by the steep learning curve that it may consume effort & time to learn, but this worthwhile try.

Here is what I meant by the following terms:

+Intuitive: obvious; second nature; by instinct.

+Cross-platform: available for more than one operating system, such as Windows, Mac OS X, Linux.

+ Menu-driven: Instead of having to issue commands, most of the procedures can be accessed via pull-down menus in the graphical user interface (GUI).

+Steep learning curve: takes considerable time and effort to learn. In the case of R, I think it would be worth the effort to learn.

Dear Rudy J Richardson,

Thank you very much for your time & effort

There is no such term "The best statistical package" in biomedical sciences. I believe each statistical package has its own pros and cons. In academics , people prefer to use " R" whereas in pharmaceuticals, "SAS" is in demand. It is always an added advantage to know more than one language . If you have any background in coding then MATLAB , R, SAS all are good but you can also go for GUI interface softwares like SPSS, Rattle R and Rstudio if you are not comfortable with coding. I hope this helps.

Thanks dear Geeta Karadkhele

Unspecified question for brainstorming to obtain the best results.

I think that SPSS will help you more

Thanks, Sofiane Bouazza