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"

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?

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

test!

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

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

worksheet

Today we did a worksheet on transformations.

Ch 10!

Ch. 10 #9 and 10

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!!!

This week

WASC week!!

Monday:  P. 204 #1,2
Tuesday:  Ch. 9 #2, 4, 13, 14
Wednesday:  Practice for the test.  Regression skills, concepts and normal problems.  + a crossword!