I’ve designed a great experiment

And collected all my data.

I’ve no idea what it all means

I’ll get to that stuff later.

*Strange Curves, Counting Rabbits and other Mathematical Explorations* is an excellent popular math book for the right audience. I had a lot of fun reading it, and will probably re-read at some point.

What is the audience for *Strange Curves, Counting Rabbits and other Mathematical Explorations?*

This is a book of recreational mathematics, but it is relatively serious. Several of the chapters have some calculus, one has a bit of simple matrix algebra. So, if you are reading this on your own, it’s probably best if you had at least one course in calculus at some point – even if you don’t remember it very well. So, that’s one audience. Read more!

This is a talk that I gave at NDRI. I also gave a version of this talk at Yale and at BrainScope

Graphics: The good, the bad and the ugly

[learn_more caption=”Author Bio”] I specialize in helping graduate students and researchers in psychology, education, economics and the social sciences with all aspects of statistical analysis. Many new and relatively uncommon statistical techniques are available, and these may widen the field of hypotheses you can investigate. Graphical techniques are often misapplied, but, done correctly, they can summarize a great deal of information in a single figure. ** I can help with writing papers, writing grant applications, and doing analysis for grants and research.**

** Specialties:** Regression, logistic regression, cluster analysis, statistical graphics, quantile regression.

You can **click here to email** or reach me via phone at 917-488-7176. Or if you want you can follow me on Facebook, **Twitter**, or LinkedIn. [/learn_more]

This is a talk I’ve given at Northeast SAS Users Group (NESUG) and at SAS Global Forum (SGF)

[learn_more caption=”Author Bio”] I specialize in helping graduate students and researchers in psychology, education, economics and the social sciences with all aspects of statistical analysis. Many new and relatively uncommon statistical techniques are available, and these may widen the field of hypotheses you can investigate. Graphical techniques are often misapplied, but, done correctly, they can summarize a great deal of information in a single figure. ** I can help with writing papers, writing grant applications, and doing analysis for grants and research.**

** Specialties:** Regression, logistic regression, cluster analysis, statistical graphics, quantile regression.

You can **click here to email** or reach me via phone at 917-488-7176. Or if you want you can follow me on Facebook, **Twitter**, or LinkedIn. [/learn_more]

The **t-test** is a statistical test of whether two sample means (averages) or proportions are equal. It was invented by William Sealy Gosset, who wrote under the pseudonym “student” to avoid detection by his employer (the Guinness Brewing Company). Guinness prohibited publications by employees, because another employee had divulged trade secrets in writing.

There are also one-sample versions of a the t-test, to tell if a sample has a mean equal to some fixed value, but these are relatively little used. Read more!