HW Day 10: Bring questions for exam.!!
Read Ch. 2 (Examining relationships), pp. 78-91.
and ahead 2.2 (correlation) You do not have
to be able to calculate r by hand. You should be able to guess roughly
at an r for a swarm of data; as p.101, fig. 2.9, and know and be
able to use facts 1 thru 7, p. 100
| Relationships & Scatterplots:
2.1
Hand In: p.81, 2.1 (rel. or explan/resp) Do 2.17a, p.98, graphing by hand! p. 91ff, 2.8 gpa vs. IQ 2.10 states'mean/median income - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Next time: Begin SPSS Scatterplot, Hand in all next Monday(??) Scatterplot handout is outside my door (white folder) if you want to work ahead. ---From now on, make all scatterplots on SPSS! SPSS Scatterplot Handout: Use the handout and govsal_vs_pay.sav data file to use SPSS and answer questions 1-5 (page 3 of handout). p.87, 2.6 (SPSS) gas mileage p.89, 2.7 (SPSS) metabolism Using the pre-made data set, graph the males and females simultaneously. If you want to print just the females, change the male points' color to white, or Exclude them from the graph (handout p. 2). Save your data file and output file for problem 2.22, later. p. 95, 2.14 (SPSS) (teachers' pay vs. no HS) (This problem looks forward to Sec. 2.3, sort
of)
|
Read, to discuss
p. 82, 2.3 (Breast CA vbles) |
Optional (more practice)
p. 92, 2.9 hotdogs&sodium
|
(Living histograms: Height vs. weight, Height vs. gpa)
Discussing Scatterplot
General Pattern
Deviations
Clusters?
Outliers? (label if possible)
Shape (linear, curved, ...?)
Strength of relationship (how unfuzzy) "Weak,
moderate, strong"
Direction
Positively associated: y increases
as x increases (generally).
Negatively associated: y decreases as
x increases.
Mark subgroups differently to do comparisons. (Subgroups defined
by categorical variable, like Sex, Region of country)
Some scatterplot data: educ-v-mortality.sav
, studatsp03.sav
Handout on SPSS Scatterplots etc.
(Moore Ch. 3)
govsal_vs_pay.sav
is the file used for most of the handout.
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