Math 151 , Day 13, Mon., Feb. 25, 2008 Hit Reload...after class.

HW Day 13 Finish Ch 3 (see Day 12)  Please Read Ch. 4 (Scatterplotts and correlation) to p. 99 Check p.105 4.12, 13, 14,   and  ahead pp. 99-105 (correlation) Check 4.14 thru 4.20.  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.102, eg. 4.6, and know and  be able to use facts 1-4, p. 101, and cautions 1-4 p. 103.

Hand In Wed
"Day 12" Normal HW repaired +
"Day 12": "Backward x problems"--Listed at bottom of Day 12 HW.

Postpone Chapter 4 intro: :
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?(Keep a copy of the graph, to use in the next hw.)
p. 107 4.23 reading ability
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  Scatterplots using SPSS.  (handout next time)
 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.
pp. 93& 96, 4.4 and 4.5 (SPSS) bird colonies(Save your file; you'll use it again for 4.10)
p.96, 4.6 (SPSS) gas mileage
---From now on, make all scatterplots on SPSS! 

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.

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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)  


Sievers home  Math151-Sp08/Days13.htm  1pm  2/25/08
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*Bear in mind that there were around 400,000 births in California in 1970. (I'm guesstimating.  There were 605,694 births in 1990, and the population of California in 1970 was 2/3 of that in 1990).  So a 3-in-a-thousand event would occur in 3x400 = 1200 births--there would be 1200 women in San Diego Reader's position (many of whom wouldn't know it.)  Rare events DO happen--it's not really fair to only notice and question them AFTER the fact.
Note--pregnancy in 1970 usually didn't involve the level of medical intervention (ultrasound, inducement of labor, Caesarian, etc.) it often gets now.