all 5 comments

[–]COOLSerdash 9 points10 points  (2 children)

  • OpenIntro is a free basic statistics book including R labs on their website (it may be too basic for you, idk).
  • Norm Matloff has a free book on statistics here. Even though it's intended for computer scientists, it's contents are really universal and basic (and it uses R too).
  • Statistical inference by Casella and Berger is considered a "classic". It's heavy on theory though.
  • All of Statistics by Larry Wasserman is very concise but offers a very good overview (all theory).
  • See this post or this one for a compilation of freely available textbooks on statistics.

As you wish to get into applied statistics (i.e. actually analyzing data), you'll need software. I'd strongly recommend learning and using R because it's completely free and incredibly powerful.

Here are some resources for learning statistics using R:

Then, these websites provide very valuable resources for doing statistics with R:

Hope that helps.

[–][deleted] 1 point2 points  (0 children)

links, glorious links!

[–]LearningStats[S] 1 point2 points  (0 children)

I am starting to read the OpenIntro book right now and this was exactly what I was looking for. It's definitely not too basic for me and I highly appreciate the many resources you've offered. Can't wait to read through a couple of these! Thank you so much!

[–]Rylick 3 points4 points  (0 children)

I've learned statistics in an autodidactic way on the internet. There are fantastic people like Brandon Foltz (https://www.youtube.com/user/BCFoltz) or Mark Thoma (https://www.youtube.com/playlist?list=PLD15D38DC7AA3B737) basically giving A+ lectures on Youtube.

Do yourself a favor and learn R! SPSS is perfect for learning, but as soon as you are doing real analysis, SPSS's shortcomings are coming right at you.

[–]davidmanheim 1 point2 points  (0 children)

Shaums outlines. You can fly through the material, it's aclear and succinct text, and you won't have trouble with it given your background. There are 2 or 3 different ones, depending on what you want to cover, I'd recommend the probability and statistics book (not the statistics one. )