(1) how do you rate the importance of exploratory and (in particular) graphical analysis of data prior to doing inferential statistics, and
any person serious about the analysis of their data ... will have a look at it ... in various ways FIRST ... before doing much of anything ... are there outliers? mistakes in the data? shapes of distributions that might call into question using certain analytic tools?
if they don't do this ... don't trust the data analysis
(2) how do you (or, would) incorporate these aspects of statistics into your teaching?
a lot depends on the SIZE of a data set ... with huge data sets ... you are limited in how you can peruse the data FIRST ... of course, with huge data sets ... inferential statistics MAY NOT be that useful ... since small "effects" will usually be significant
I am looking forward to your insights into these questions.
Best,
Esa -- ------------------------------------ Esa M. Rantanen, Ph.D. Assistant Professor University of Illinois at Urbana-Champaign Institute of Aviation, Aviation Human Factors Division Willard Airport-One Airport Road, Q5, MC-394 Savoy, IL 61874 Tel. 217-244-8657 (AHFD) Tel. 217-244-7397 (Psych.) Tel. 217-373-8276 (Home) Fax 217-244-8647 e-mail: [EMAIL PROTECTED] url: http://www.aviation.uiuc.edu/new/html/ARL/Esa_Rantanen.html ------------------------------------ . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
---------------------------------------------------------- Dennis Roberts Email: [EMAIL PROTECTED] Web: http://www.personal.psu.edu/users/d/m/dmr/droberts.htm
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