The Statistics Handbook (free culture LaTeX handbook)

[carlocck]

Wrote this 30-page essay that aims to explore an approach to statistics for the layman - from simple average to stochastic gradient descent. Open source, free culture code - happy sharing.

[brudgers]

For a potential reader like me, linking to a PDF would be better because a Github repository is not how I typically engage with texts.

[shrubble]

I appreciate this greatly... I am working with people that don't understand even the basics (such as a survey with 49 responses means that the margin of error is over 10% and thus comparing 1 month's results of say '68 per cent' with next month's '75' is meaningless); hope that this will help me better explain what they are missing.

[2b3a51]

Your example includes just about every manager I have ever worked with in a 35 year teaching career.

National exam pass rate of 67% does not imply that every class of 20 will have 14 or 15 passes!

I really appreciate the author providing access to the LaTeX source as well.

[sillymath3]

> I am working with people that don't understand even the basics (such as a survey with 49 responses means that the margin of error is over 10%

I don't understand this, if the population if just 49 people then the margin of error is zero. So intuitively the bigger the population the bigger the bound for the margin of error.

[sokoloff]

My favorite is when a survey result is presented with “as many digits as my calculator showed”, often allowing me to derive how many responses were likely received.

[sillymath3]

In 10.4 A/B testing is just a list with several points and there is not warning about having a deep understanding. For example, the point of selecting a sample is not easy, if you take a sample of something on 1 july of 2020, you have to consider if the weather, the day of week, people on vacation or anyone of thousands of factor is going to make your sample not adequate to generalize the result to other circumstances. Using statistics correctly requires neutralizing many sources of errors. It is not easy to get a good representative sample.

[clircle]

So many intro to statistics books... what's there left to say?

[2b3a51]

So many people without understanding. Perhaps we need a tonne of different approaches?

[Pinegulf]

Worth the price. Keep em coming.

[clircle]

> worth the price

...