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Aug 6th, 2022
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hi all its uh dr jardin here and today i want to recommend my two favorite free statistics programs so ive been teaching stats for behavioral science now for five or six years and uh basically uh im always asking what whats the best route to go after because a lot of times in classes and college theyll give you a program like spss or sas and it costs a lot of money to to get that license and once you graduate great you learned a program that you could use but if the job you have doesnt allow that doesnt pay for that license youre kind of stuck and some of the programs that i teach and that i recommend are free so you can add value to your company wherever you go because you can bring that with you and you dont have to charge the company money to use software so my favorite one for basic statistics the kind of stuff you would look at the descriptive statistics inferential statistics is jamobi and then for data science machine learning is the anaconda distribution using python

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Top 10 Statistical Analysis Software SPSS Statistics. JMP. Posit. Minitab Statistical Software. OriginPro. eviews. Stata. Base SAS.
Sophisticated statistical packages such as Statgraphics, SPSS, and SAS provide programs to analyze a variety of statistical models. Also, the commonly used Microsoft Excel package includes modules for some routine statistical models such as descriptive statistics and regression analysis.
A statistical package is defined as the software used to collect, organise, interpret and present numerical information. The need of a statistical package arises due to the complexity of calculations involved therein for analysis and inference. It helps to bring accuracy in results.
PSPP 1.6. 2 has been released. GNU PSPP is a program for statistical analysis of sampled data. It is a free as in freedom replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions.
Statistical packages are collections of software designed to aid in statistical analysis and data exploration. The vast majority of quantitative and statistical analysis relies upon statistical packages for its execution.
Microsoft Excel is your best tool for storing and manipulating data, calculating basic descriptive statistics such as means and standard deviations, and conducting simple mathematical operations on your numbers. It can also run the five basic Statistical Tests.
SAS is tougher to learn than the point and click interface of SPSS. SPSS is easier to learn as it provides paste functionality. All tables, charts can be easily passed by the click of a button. SAS, on the other hand, does not have any such functionality.
Excel is the widely used statistical package, which serves as a tool to understand statistical concepts and computation to check your hand-worked calculation in solving your homework problems.
1, pbdR, GNU Data Language, Dap, Simfit, First Bayes, MicrOsiris, Ploticus, NCAR Command Language, Perl Data Language, Yorick, EasyReg, IVEware, ViSta, StatCVS, WinBUGS, JAGS, WINPEPI, ADMB are some of the top free statistical analysis software.
IBM SPSS (Statistical Product and Service Solution) is one of the most widely-used statistics programs thanks to its incredibly easy-to-use interface.

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