Statistical softwares wiki

Is there any better online software we have missed? Be the first to comment on this. Become a member or log in now. We're a community of software enthusiasts here to learn from and share with like-minded people.

Already a member? Log in now. The 10 Best Statistical Analysis Software Statistical software are specialized computer programs which help you to collect, organize, analyze, interpret and statistically design data. Benefits of statistial analysis Statistical analysis allows businesses to make crucial decisions about projects. It helps identify trends in the marketplace that can determine whether a project is right to invest in or not. Business statistics help project future trends for better planning.

If you are considering risk factors for specific project that your company wants to roll out then statistics are necessary. Click here to cancel reply. Join our community Submit comments and reviews Create product listings Take part in forum discussions Have your own user profile Get our best content in your inbox.

As a WooFresh Member, you will be able to:. Sign up. Forgot Password. OR Connect with:. According to the SPSS website, version Psychology Wiki Explore.

Animal defensive behavior Kinesis Animal escape behavior Cooperative breeding Sexual cannibalism Cannibalism zoology Animal aggressive behavior. Recent Blogs Community portal forum. Explore Wikis Community Central. Register Don't have an account? View source. History Talk 0. The results from a statistical analysis are displayed on the screen, some intermediate results P-values, regression coefficients, residuals, The R language allows the user, for instance, to program loops to successively analyse several data sets.

It is also possible to combine in a single program different statistical functions to perform more complex analyses. The R users may benefit from a large number of programs written for S and available on the internet, most of these programs can be used directly with R. Several of the packages also have tutorials. These tutorials help with a basic introduction and learning the basics of programs. The CDC page also lists a video slide show tutorial from the University of Nebraska [35] , and another site has on line training classes [36].

R has a large number of tutorials and manuals, in English and other languages [37] , and a faq site [38]. Most of the packages have on line manuals, guides or help pages. These manuals or guides are useful when there are questions about specific procedures or statistical tests.

Most of the major commercial and free packages have many statistical procedures in common. The main reason to use free packages is probably the cost.

Many of the packages have some kind of opening menu that is used to get or enter the data, manipulate the data, and select the statistical analysis. One example of an opening menu, from MicrOsiris, is this:. Then after starting the program, people generally get data, either from previously saved data sets, or importing from some other format. For example, MicrOsiris has an import menu like this:. From this menu, data files in various formats can be imported. For example if the data is in CSV form text with commas between values , the program recognizes the format and creates a data set from the CSV file.

Finally, people can use the program to do some analysis. Again, using MicrOsiris as an example, the menu for regression looks like this:. In this analysis menu, people can select the variables of interest, along with other options. Then the analysis is run and results are obtained.

WinIDAMS does have an interactive menu to read in data, but then specific statistical procedures need a set of text commands.

For example, the text command lines for frequencies look like this:. The procedures all have various options outlined in the manuals. One consideration is whether there are missing data.

So for example, say one set of data look like this:. When some packages, like PSPP or MicrOsiris, read in or import the original data set, the packages will recognize that those values are missing, and do their calculations accordingly.

MicrOsiris automatically assigns 1. Other packages need a 'place holder', such as '-9' where there is missing data [52].