Hello Jorge,

very nice presentation! I guess it would be beneficial for the reader to point out that SemanticImport creates a Dataset structure. The Dataset is very nicely supported for the selection of rows and columns, data transformation etc --> see accompanying documentation. In fact determining the Mean of a column could also be done with the command "dataset[Mean,"name"]" (see documentation). More important, for complicated input data containg command instructions or inconsistent data structures SemanticImport sometimes fails to get it right. In these cases you can import the data with import or other Mathematica functions which offer more control and then create a dataset which will again offer these nice features for data analysis.

This is a helpful guide to start learning statistics in Wolfram, thanks for taking time to post it on the discussion forums. Once the results are verified, the confidence in using the program will hopefully increase for students new to the program.

This is really helpful. I loaded some data and used PostTests -> {Tukey, Bonferroni}.

Any ideas why Tukey is more conservative in Mathematica than Stata? Not complaining. I'd rather err on the side of caution with ANOVA post-hoc tests.