Article #5

Article #5 is due Thursday

Monday Homework

Ch. 12 #15, 16, 23, 24

Here are some of the class notes:

Calling on students for chance cards.

Simple Random Sample:
Use the Random Integer command on my calculator to randomly pick who to call on.
OR:
Put everyone's name in a hat and draw 5 names.

Stratified Random Sample:
I might stratify by class grades. Divide the class into five groups
(A, B, C, D, F) and randomly pick some students to participate from
each group. I think students with high grades are more likely to
participate and vice versa, so this will give me a good
representation.

Cluster sample:
Randomly pick one of the 8 table groups and call on everyone in that group.

Systematic Random Sample:
Use the roll sheet and pick every 5th person.
OR:
Pick every 3rd person as you arrive to class.

Population: Rancho Students
Question: Is RCHS a quality school?
Possible Strata?

Stratifying by GPA:
I would divide the student body into 3 groups: high, med and low GPA.
I would then randomly choose some students to survey from each group.
I think that each of these groups will have very different opinions
about RCHS and I want to make sure that each group is represented.

More chapter 12...

#8, 10, 12, 14

HOW do you collect that data?

Ch. 12 #2, 4, 6

Test tomorrow!

Test on regression tomorrow:

Study chapters 7 through 10 and normal problems
Study your worksheet from Chapter 10
Study your old regression test on temp/crawling
Study Ch. 9 #1
Study extrapolation, outliers and influential points and the standard
deviation of the residuals
Chapter 10 #1 and 2

End of regression, really!

Page 204 #2, 4 and for #28 please interpret s in context.

2 days

Thursday we did a worksheet and Article #4
Friday: Page 207 #17, 37, 40

Onward in 10

We did Chapter 9 #1 in class, and so should you.
HW: Ch. 10 #1, 2, 7

Starting Chapter 10

1978—63,042
1979—226,260
1980—907,075
1981—2,826,095
Year vs. acres devastated by the gypsy moth.
Predict for 1982, please!

Also, MC packet #6

Influential?

Wandering point worksheet
Ch. 9 #11-16
Article #4 due Friday--just write a half-page summary

Review Answers

Well, you lazy bums. I suppose you're too busy on MySpace to e-mail me any answers, so here's a few:

17c) First take the squareroot of 0.924. I forget exactly what this is, but it is 0.9something. This tells us there is a strong, positive, linear relationship between tar and nicotine.

17d) For every 1 more mg of tar, we predict about 0.065 more mg of nicotine.

17e) Even with no tar, we still predict about 0.154 mg of nicotine.

1d) 92.3% of the variation in age can be explained by the regression on age.

1f) She is shorter than predicted, for her age.

1g) Wait until next week.

See you in the morning!
Now go to bed! :o)

Before the test

Finish the crossword and finish your flipbook.

Practice Test

Ch. 8 #10, 32, 36
Add to #10 the interpretation of the y-intercept
Parts of this assignment will graded tomorrow
and this grade will be part of your test grade.

End of chapter 8

HW: Ch. 8 #8abc, 21, 23, 25d

Thursdays HW

Ch. 8:
#25ef, 29c
#30: slope, y-intercept, r, R2, and prediction for 2002
Article #3!!!

No homework for Friday

R^2

HW Ch. 8:
#25bg, 29abd
For #29 find the residual for (250, 95).
Is this data point above or below the LSRL?

Chapter 8

HW: 
Ch. 8 #25ac + find the residual (19, 410)
Ch. 8 #28acd