Magic Stat runs descriptive statistics, ANOVA/MANOVA, regression, mixed models, SEM/PLS and Bayesian analysis — and hands you back the figure and the table ready for the manuscript, not a raw output window.
The usual reasons are not mysterious: SPSS is expensive and licensed per module, the output window is awkward to turn into a publishable table, and the parts most researchers need (a clean figure, a table that survives Word, an interpretation) are exactly the parts it leaves to you.
There is also free software — R, JASP and jamovi — and if it suits you, use it. R is the reference implementation of half of modern statistics and JASP and jamovi are excellent, genuinely free, and open source. Magic Stat is not a replacement for them, and I am not going to pretend otherwise.
So where does Magic Stat actually fit? The gap it aims at is the one between the analysis and the manuscript: getting the result into the article without an hour of formatting.
No. There is a free 48-hour trial with no credit card, and after that the licence is US$990 per year. If you want free and open source, R, JASP and jamovi are excellent — Magic Stat competes on output and on the analysis-to-manuscript workflow, not on price.
Yes — spreadsheets are the primary input, so you can keep the data where it is.
No. The analysis runs locally. The only automatic signal the app sends is an anonymous installation counter (no data, no names, no e-mail).
For most day-to-day work in a research group, probably yes. For a very specific procedure, check the method list first — if something is missing, that is useful to know and worth telling me about.
Windows, macOS and Linux.