| Hand
In Monday: NOTHING new! work on
repairing Day 11 to hand in Monday. . Monday I'll quickly go over
p. 87, 3.46 surprising difference in tails p. 80-81 3.11 and 3.12 (locomotive adhesion, 2 dist's) and discuss the implications of the pregnancy question. Then I'll start chapter 4. Postpone all below here: p. 92, 4.1 explanatory/response or just association 4.2 expl/ resp in an experiment (coral) 4.3 beer and blood alcohol, other variables 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? p. 107 4.23 reading ability - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Scatterplots using SPSS. Scatterplot handout p.1-3, p.4 ---From now on, make all scatterplots on SPSS! Don't forget to check Measure, and to add Labels. 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. 96, 4.4 and 4.5 (SPSS) bird colonies p.96, 4.6 (SPSS) gas mileage p. 98 4.7 (SPSS) icicle growth. Data is in table 4.2. Be sure to write on your graph which group is slow water and fast. p. 109 4.25 a, c (not b) (SPSS) running records, M/F These are record breaking times, so a year without a number is one in which the best time was slower than the last record. |
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. |
Start here Monday!
"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
= = = = = = = = = = = = = = = = = = = =
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)
response = dependent=
"y"
=
vertical axis = ("effect
")
(Living histograms: Height vs. weight, Height vs. gpa)
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.
| Sievers home | Math151-Sp07/Daysp12.htm | 3:pm | 2/23/07 |