resource(s) for intro stats?

[ajschumacher]

What is a good intro stats resource to people to? It seems hard to find something that is accessible (both available online and in level of discourse) and covers a good swath of material for the course. The best I've found, I'm afraid, is this:

http://www.statsoft.com/Textbook/Elementary-Statistics-Concepts
http://www.statsoft.com/Textbook/Basic-Statistics

Pros: Very friendly writing, more or less concept-oriented, no formulas.
Cons: No formulas, doesn't seem to care about variance as a foundational concept, trying to sell their silly product.

I also haven't read all the words on those two pages; there may be more going on there. Thoughts? Other ideas?

@podopie @datadave @arahuja @justmarkham @sinanuozdemir any suggestions appreciated!

[sinanuozdemir]

Would slides like these along with video and audio help? I'm afraid they
aren't so in depth but they are part of an online AP Statistics class I
helped create. We go up to linear regressions but my videos aren't there
yet unfortunately.

Chi Squared Tests
https://www.dropbox.com/s/quzui7h9e684pa0/chi%20squared.mp4

Sinan Ozdemir http://about.me/sinanozdemir
Professor of Mathematics / Computer Science
Founder & CTO of Tier5 http://tier5.co
M.A. in Theoretical Mathematics, Johns Hopkins University
Mobile: +(609) 462-6706

On Tue, Jun 17, 2014 at 11:38 PM, Aaron Schumacher <notifications@github.com

wrote:

What is a good intro stats resource to people to? It seems hard to find
something that is accessible (both available online and in level of
discourse) and covers a good swath of material for the course. The best
I've found, I'm afraid, is this:

http://www.statsoft.com/Textbook/Elementary-Statistics-Concepts
http://www.statsoft.com/Textbook/Basic-Statistics

Pros: Very friendly writing, more or less concept-oriented, no formulas.
Cons: No formulas, doesn't seem to care about variance as a foundational
concept, trying to sell their silly product.

I also haven't read all the words on those two pages; there may be more
going on there. Thoughts? Other ideas?

@podopie https://github.com/podopie @datadave
https://github.com/datadave @arahuja https://github.com/arahuja
@justmarkham https://github.com/justmarkham @sinanuozdemir
https://github.com/sinanuozdemir any suggestions appreciated!

—
Reply to this email directly or view it on GitHub
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[ajschumacher]

Could be good! Can you put together a statistics.md in the 00 linking to a good selection/sequence and send a pr?

[justmarkham]

I spent some time today looking for a good stats resource. Although I found some potentially good materials, everything I found is probably too long. With a limited amount of time before the course, and other prep work to do in R and Python, who's going to read an entire textbook or watch tons of hours of videos?

That being said, here's what I found, and perhaps there are chapters or sections we can pull out and recommend specifically:

• OpenIntro Statistics textbook: Material looks really good, and the "teachers" section has downloadable slides. I'd probably read this 400-page book if I had the time and motivation.
• Think Stats: Fairly readable, and not overly long (120 pages). However, I'm not sure how much you can get out of it without doing the Python exercises.
• OLI Probability & Statistics: I did a bit of this course back in January. It was pretty good. It's kind of like an interactive textbook (quizzes, no videos).

Video-based courses that were recommended various places, but I haven't looked into them yet:

• Khan Academy Probability & Statistics
• Coursera Intro Stats
• edX Intro Stats

I did like what you posted, Aaron, because it wasn't overly long and covered a good bit. And I did like Sinan's video.

[podopie]

Khan Academy's videos are amazing! We reference them constantly in class and as additional sources to cover the statistics we talk about in class.