|
Hand In Wed Postpone
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 returned. Solutions
| total |
#1 |
#2 |
#3 |
#4 |
#5 |
#6 |
#7 |
9* |
0123 |
||
| possible |
100 |
10 |
28 |
19 |
18 |
4 |
14 |
7 |
8. |
55599 |
|
| max |
93 |
10 |
28 |
19 |
17 |
4 |
14 |
7 |
8* |
122 |
|
| Q3 |
86 |
10 |
25 |
16 |
15 |
4 |
14 |
7 |
7. |
68 |
|
| Median |
80 |
10 |
24 |
16 |
15 |
4 |
12 |
7 |
7* |
02344 |
|
| Q1 |
73 |
10 |
21 |
13 |
11 |
1 |
10 |
6 |
6. |
7777 |
|
| Min |
67 |
6 |
13 |
5 |
6 |
1 |
0 |
2 |
Comments: 2c) Mean =
average, average = typical, therefore mean = typical. NOT!
2b, 3c, skewness: You have to look at the graph with the
numbers increasing from left to right.
4d) The mean is the sum total of all the individual numbers,
divided by the sample size. So to get the total back, just
multiply the mean by the sanple size; 583,993.95 x 58 counties =
33,871,647.94 ~ 33,871,648 is pop. of CA.
- - -
- - - - - - - - - - - - - - - - - - - - - - - - -
HW Questions? Using z
tables to go between raw values and proportions (percentiles) See
Day 12
Optional Handout:
Normal probability practice (end
of class last time)
Handout:
Solutions p. 87, 3.46 surprising difference in tails
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 11
= = = = = = = = = = = = = = = = = = = =
Start here Wed.
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)
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.
SPSS:
Graphs>Legacy
Dialogs>Scatter/Dot > Simple Scatterplot. Move variables from the lefthand list to the X-axis (horizontal) and Y-axis (vertical) boxes. Don't forget to check Measure, and
to add Labels.
Some scatterplot data: govsal_vs_pay.sav
educ-v-mortality.sav
, studatsp03.sav
Handout on SPSS Scatterplots next time
(BPS Ch. 4&5)
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