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Users familiar with the PSPP syntax will have no problem in using the application in this mode. The major advantage offered by PSPP consists in its ability to handle very large volumes of data, even if the provided data is larger than the virtual memory of your Mac.
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Thanks to PSPP you can perform descriptive statistics, T-tests, anova, linear and logistic regression, factor analysis, cluster analysis as well as non-parametric tests. Additionally, you can import data from various database sources, text files and spreadsheets. If you are a social scientist, statistician or a student that needs a convenient and easy way to analyze sampled data, then PSPP is the app you are looking for. Because the PSPP developers have not prepared these binaries, we cannot in general vouch for them.
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If you want to compile and install PSPP yourself, you can get the source code from http: Should this link be unavailable or unreasonably slow, please select a local mirror site. PSPP is under continual improvement. You can get development versions if you are interested to see what the developers are working on. Development versions have undergone less testing than released versions. You can fetch the latest development sources from the Savannah GIT repository.