DOCUMENT 1 [ST-01| - "Stats: Black & White" is a practical guidebook to understanding the meaning of statistics and the use and interpretation of statistical tests, written in a way that most people can easily understand:

 

 

 

 

Step by step, this guidebook is to walk a person through what statistics really mean, in plain, every-day language. It was originally written by a psychologist, Dr. Stacy Lamon, during graduate school in 1986 to aid him and other graduate students. At this point Stats: Black & White is only partially complete – the current version of this Document includes sections describing:

 

     1: Data            3: Variance                      5: Standard Deviation          7: t-Test Two Sample      10: p-Values & Significance

     2: Parameters   4: Population-v-Sample     6: Standard Error of Mean    9: Degrees of Freedom   (yep, #8 is missing)

 

Clearly there’s a long way to go. The original 1986 version of Stats: Black & White is continuing to be updated and transcribed to this document. But anyone who wants can pitch-in and add or change content.

 

What’s needed are descriptions of non-parametric tests:

    ~Chi Square   ~Cochran's Q   ~Cohen's Kappa   ~Kendall's Tau   ~Kendall's W     ~Mann–Whitney U   ~Wilcoxon Rank Sum

    ~Wilcoxon Signed-Rank         ~Siegel–Tukey      ~Spearman's Rank Correlation    ~Kruskal-Wallis 1-way ANOVA by Rank

    ~Friedman’s 2-way ANOVA by Rank

 

as well as descriptions of parametric tests:

    ~Single Sample t-test     ~Analysis of Variance (ANOVA) One-way Between Groups   ~ANOVA One-way Repeated Measures

    ~ANOVA Two-way Between Groups       ~ANOVA Two-way Repeated Measures         ~Pearson's Product Moment Correlation

    ~Simple Linear Regression         ~Nonlinear Regression        ~Multiple Regression    ~Stepwise Regression

 

Keep in mind, the goal of this Project is to make statistics logical and readily understood by non-statisticians. So pay special attention to the way you describe these statistical tests. Maybe even have a couple of people read what you write to get a feel of how understandable your language is. Finally, the primary author may be logical and a good mathematician, but he’s not a statistician – so don’t hesitate to edit the document for accuracy. Eventually, the completed Document will be reviewed by a statistician.

 

What to do: (1) Download the Document Stats: Black & White above (351 kb, ext docx); (2) read it; (3) make edits and additions using MS Word Track Changes; and (4) return your revised version of the Document by email to PROresearch2000@gmail.com. If you don't want to edit it but have some comments about it, you can send those comments to the same email address or by using the Contact page of this website.

 

Acknowledgment: Of course, unless you'd rather remain anonymous, your name will be added as a contributor to that version and all subsequent versions of the Document.

 

   DOCUMENT 0 [ST-00| - You can start your own Document on statistics for crowdsource development and editing. Just send us your idea and, if you have them, any draft documents relating to it.