| --Leave under my door, Mac 102, today if possible: Pretest and Student questionnaire, if not finished in class today. |
| Hand in Monday day (in
class) p.6, 1.1 indiv/vble, cat/quant p.27, 1.27 Hispanic pie 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)? B. (On a separate sheet, with a classmate or 2) Muslims in Europe handout |
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 |
Data: Information (usually numbers)
in context: What, Who (how many), Why? When and Where?
How?
Context for
height, hair color,
shoe size, pulse rate:
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.
| Sievers home | Math151-Fall07/Dayf1.htm | 9pm | 8/23/07 |