Thursday, December 10, 2009

Final exam review

Unit 1
Outlier rule
All the graphs
Whether or not resistant
Which stats to use for sym/skewed
Normal
Transformations affecting stats
CUSS'ing

Unit 2
LSRL: r, r^2, slope, y-int
Residuals and residual plots
SOFA
Predictions, extrapolation
Transforming data to make it linear

Unit 3
Survey biases
Survey methods
Experimental methods
Confounding
Simulations

Unit 4
Probability: problems from P. 340

Practice problems
1: Ch. 6 #1
1: P. 106 #8, 10, 11, 21, 25, 27
2: Study your old tests: tire tread, crawling, etc.. Also: Ch. 10 #1
3: Ch. 11 #11, Ch. 12 #19, Ch. 13 #29
Unit 3 worksheets

Wednesday, December 09, 2009

practice, practice

P. 487 #13:
Make a stem and leaf plot
Make a boxplot
Check for outliers
P. 569 #25
Make a scatterplot
Find the LSRL
Interpret the slope.

Monday, December 07, 2009

Random Variable rules

Ch. 16 #27, 33
P. 106 #8, 10

Thursday, December 03, 2009

Expected Value

Ch. 16 #4-6, 17, 18, 20

Wednesday, December 02, 2009

Expected Value

Ch. 16 #15, 16, 21, 22

Monday, November 30, 2009

probability

Ch. 15 #9, 16, 20
Don't forget:
Bias proposal due Wednesday
Stats articles due each Friday: 
statsarticles.blogspot.com

Saturday, November 21, 2009

Friday's final probability problems

We did:  Ch. 15 #3-6
Also, due for 2nd period, by next Wednesday:
and read the article on tv and happiness and answer the questions.

Wednesday, November 18, 2009

today and yesterday

Ch. 14 #13, 17, 19, 21-25

Monday, November 16, 2009

Article

Go to: statsarticles.blogspot.com
And do what it says.
Due Friday.

Tuesday, November 10, 2009

practice, practice

Unit 3 review #23, 24, 28 and 35
test on thursday and friday

Wednesday, November 04, 2009

review

I passed out a 3 page review of Unit 3 today.
Due Monday.
Photograph Monday.
The free response problems are worth about 15 minutes of work and should be about one-third to one-half of a page.

Monday, November 02, 2009

experiments!

Ch. 13:
Read the first 2 pages
#1-6

Tuesday, October 27, 2009

More statcrunch details

Still picking a data set? Go to:
http://rchscrunch.wikispaces.com/
and see what is still available. Be aware! The page numbers may have shifted a bit.
After you pick your data set, edit the page and put your pick on the page!
That's right, it is a wiki: that means you can edit it. Click "Edit", type in your data set to claim it. Then click "Save".

I will be available this Thursday and next Tuesday in a computer lab for help.

Good luck!

chapter 12!

Ch. 12 #6,7, 11, 12
Skip "sampling frame"

Monday, October 26, 2009

last week and today

Last week we did a few more simulations:  Ch. 11 #16 and 13
Tonight:
Describe how you would take a survey to assess the motivation that students have to get a Renaissance shirt. 
How would you collect the data?
What biases would you worry about?
What is the population?

Wednesday, October 21, 2009

report

Statcrunch exploratory data report

Goal: To show that you understand how to make and describe various
categorical and quantitative graphs and can use those graphs to
discover relationships in a large data set.

Output: A StatCrunch report that is completed and shared/emailed with
me and our RCHS statcrunch group.

Deadlines:

October 26th, Monday: Pick your data set and report it to me.
Note: your data must come from page _____ and can be chosen from the
top/bottom half. Go to Explore—Data to find your page. If that page
does not contain sufficient data, add 35 to your page number.

November 6th, Friday, 7am: Report must be completed, an email sent to
me and shared with RCHS group.

A few details:

*Categorical/quantitative graphs are both required.
*Scatterplots are not required, but are encouraged if they are
appropriate for your data. Likewise with regression equations.
*Your goal is find relationships in the data and describe them. The
most common way to do this is to graph one variable with respect to
another (movie revenue according to rating, pulse rate by gender,
etc…) However, graphs of just a single variable may be important as
well.
*This will count as a test grade.
*I will have a tutoring day in a computer lab for tech fearful!

simulations

Ch. 11 #11

Monday, October 19, 2009

test!

Test tomorrow!
Part I:  Chapter 10
Part II:  Regression and normal

Thursday, October 15, 2009

End of homecoming week

Thursday:  Ch. 10 #27; Page 204 #4, 8, 9, 37, 40
Due on Monday
Photograph on Monday

Friday:  Fix test
Monday: Final questions

Tuesday:  Test on:
Ch. 10: transformations
Linear Regression
Normal

Wednesday, October 14, 2009

worksheet

Today we did a worksheet on transformations.

Tuesday, October 13, 2009

Ch 10!

Ch. 10 #9 and 10

Wednesday, October 07, 2009

Review answers

a) Yes! The residual plot shows no pattern
b) 233.5: For each year that goes by we predict about 233.5 more aircraft flying.
c) 89.9% of the variation in aircraft flying is explained by regression on year.
d) Plug in 2 (not 1992!): predicted aircraft = 2939.9+233.5*2 = 3406.9 aircraft.
e) residual at 2 = 40, so the actual was 3406.9+40=3446.9 or 3447
f) sqrt(.899) = .948 = strong, positive, linear relationship between year and aircraft.
g) On average, my predicted number of aircraft misses by about 33.43
h) aircraft-hat = 2939.93 + 233.5(year)
i) we predict in 1990 that the number of aircraft flying is about 2939.9

Study hard! I hope this helps!!!