Hand In Friday Chapter 4 intro: : \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \
\ \ \ \ \ \ \ \ \ \ p. 108, 4.24 date heights Make the scatterplot by hand.
Answer these questions instead of the ones given: Describe
the relationship--form, direction, strength, (with only 6 points
there's not enough data to talk about outliers). Is there
any female dating a male shorter than she is?(Keep
a copy of the graph, to use in the next hw.) |
Read, to
discuss |
Optional Do now if you need the practice: Straight line graphing practice: A. y = -10 + 3x, graph for 2<x<10. B. y = 500 - 20x, graph for 0<x<10. |
Exams still not finished. Sorry! Friday
for certain!
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HW Questions? Using z tables to
go between raw values and proportions (percentiles) See Day
11
Optional Handout: Using SPSS to compute new variables,
find Normal table values
Handout: Solutions p.
87, 3.46 surprising difference in tails
Correction in handout:
3rd line from bottom is .9881as in the following lines.
p. 80-81 3.11 and 3.12 (locomotive adhesion, 2 dist's)
"San Diego Reader" --What proportion
of pregnancies last 310 days or more? z = (310-266)/16 = 44/16= 2.75.
Area above 2.75 = .0030.
3 in a thousand pregnancies last
that long. Pretty rare. Is "San Diego Reader" one of the 3-in-a-thousand,
or is she lying? (this is the kind of question we deal with in Significance
Testing, part 3 of the course).Discussion
More on backward problems?
Going from area to x:
Day 8
= = = = = = = = = = = = = = = = = = = =
Relationships:
(BPS4e Ch.4, at first to p. 98)
Two Related quantitative variables
(We used side by side stemplots, boxplots, histograms to relate a
quantitative variable to a categorical variable)
"Just Related" or "explanatory &
response?"
(Scatterplots)
explanatory = independent = "x" = horizontal axis ( = "cause",
sometimes but not always)= predictOR
response = dependent
= "y" = vertical axis
= ("effect ") =predicteED
(Living histograms: Height vs. weight, Height vs. gpa)
Got to here Wed.
Discussing Scatterplot
General Pattern
Deviations
Clusters?
Outliers? (label if possible)
Form (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.
(BPS Ch. 4&5) pages.1-3 , page.4
govsal_vs_pay.sav
is the file used for most of the handout.
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