Math 151 , Fall 2008, Fri. Aug. 29, Day 1 Hit reload to get most current version

--Leave under my door, Mac 102, today if possible:  Pretest and Student questionnaire, if not finished in class today.

Reading-- Text: Read, Intro, xxi--p.1 [very good],   Chapter 1, p.3-6(bar&pie) do "Check" problems p. 24 1.13,1.15.  Read ahead pp. 6-21 (Histograms, stemplots, timeplots ).
Italicized notes give me a hint which problem it is. [my comments]
    Problems on the same line usually cover similar issues.

Hand in Monday (in class) p.6, 1.1 indiv/vble, cat/quant p.27,  1.27 Hispanic pie  Also: To argue with Moore:  A pie chart allows you to answer easily questions like: "more than half?",  "Less than 3/4?",... "Less than 1/8?"  Describe these groups in those terms:  Mexican,  Puerto Rican, All-other-Hispanic (I'm trying to think who--Dominican, who else?) p.28, 1.29 Spam--Pareto chart Note the categories "come" in alphabetical order.   Just make the bargraphs by hand on ordinary paper. A.  What order is used to present the car-color data in ex. 1.3 ( p. 10)?  The Radio station format data in Fig. 1.2 (p. 8)?

Read, be able to discuss      p. 6, 1.2 TV-indiv/vble, units p. 10,  1.3--Answer the questions (% other?  Pie?) but don't make the bargraph. p.10, 1.4--Don't make the graph.  Would a pie be OK?, What's with the weekends?

Optional MP = More-practice  p. 26,  1.23,1.24

All from David S. Moore, The Basic Practice of Statistics, ed. 4, unless otherwise noted
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Take your pulse (heartbeats per minute).  Write it down.
Sign in on the clipboard circulating.
Sign up on the white pad to meet me in my office (Mac 102)
Introduce yourself to several people you don't know.

Syllabus, class mechanics
Handouts:  Syllabus.  Math Pretest, Student questionnaire (Return when finished), 
     Waitlisted? Give me Waitlisted sheet by end of class!
    Bar/Pie template
            (Missed class?  Handouts in white folder outside my door (Mac 102))
        Data collection:  Class, height, hair color, shoe size, heart rate (pulse), siblings.    Record on questionnaire.

Data:  Information (usually numbers)  in context:  What, Who (how many), Why?  When and Where? How?
       Context for height, hair color, shoe size, pulse rate, siblings:

Variable (possible values), individuals (cases)
        Categorical (ordinal--has natural order or nominal--just names) &&Ordinal/nominal not in text!
    or Quantitative (can add, average--measured on a ruler-type scale) Units?!

Distribution of one variable:  what values, how many (or what proportion) of each.
  Categorical: Bar or pie graph  (Pie: portions of the whole thing, all categories.)
  Area represents proportion
    Describing:  Pattern-- and deviations from it

What do we see?  What can we infer? (Teaser--inference is 3rd part of course)
    Data source? Lurking variables?  Any problems with the way I collected data?
    Variability happens.  Things settle down on average.  BUT conclusions are never certain.
    Statistics gives us a language for talking about uncertainty.