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!!!

Tuesday, October 06, 2009

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!

Monday, September 28, 2009

Review

Quiz tomorrow!
Ch. 8 #35, 36

Thursday, September 24, 2009

Regression practice

Ch 8 #7bcd
#28 all + (e) interpret slope
#33 all + (f) interpret r + (g) interpret r^2

Tuesday, September 22, 2009

residuals

Ch. 8 #7a, c, e, f & #9

Monday, September 21, 2009

slope and y-intercept

Ch. 8 #25a & c, #29a, c, e, f

Thursday, September 17, 2009

Scatterplots

Ch. 7 #4, 6, 8

Tuesday, September 15, 2009

some review ideas, Unit 1

Outlier fences:
Q1 - 1.5IQR
Q3 + 1.5IQR

sd is always positive
(or zero if all the data is identical)

Categorical graphs:
bar and pie

Quantitative graphs:
stem and leaf (shows data)
boxplot (can hide shape)
ogive/cumulative freq
dotplot
histogram

Independent data makes bar graphs with similar levels

The mean is lower than the median for skewed left data

Measures of spread:  IQR, sd and range
Measures of center: mean and median
Which of the above are resistant?  med and IQR

Rule of thumb:  68-95-99.7

z-score formula:  (x - mu)/sigma

Monday, September 14, 2009

review for wednesday's test

Ch. 3 #22
Unit 1 review #11, 25, 29fg, 30

Wednesday, September 09, 2009

normal cdf

Ch. 6 #26abc and 17
Answers:
a)  Only 0.07% of tires last longer than 40,000 miles.  Not very likely!
b)  21.19% (z score is -0.8)
c)  67.31% (z scores are -0.8 and 1.2)

Tuesday night's HW

Ch. 6 #7, 11, 12
Page 113 #36
If you ever come looking for homework and I forgot post it, feel free to email me!  I check email on my phone too much, so you'll get a fast reply!

Tuesday, September 01, 2009

review

Both review assignments are due tomorrow!

Monday, August 31, 2009

Review and test

This week:
Monday:  Unit 1 review, page 105 #7, 16, 21, 29 a-e, 31 and 32
Tuesday:  practice, practice.  Tutoring
Wednesday:  Jeopardy?!?
Thursday:  Test (no tutoring)
Friday:  StatCrunch in the library computer lab
3-day weekend!!!

Thursday, August 27, 2009

Wednesday, August 26, 2009

standard deviation!

Ch. 5 #5, 6, 36

Tuesday, August 25, 2009

Chapter 5!

#12, 14, 24, 25, 35

Sunday, August 23, 2009

StatCrunch this week

Assignment 1:

  • Go to My Groups
  • Click on RCHS group
  • Click on the First Day of school data
  • Make a graph of one or more variables on the survey
  • Describe
  • Print graph and description
Assignment 2:
  • Find some data. Lots of it.
  • You have to find data that contains both categorical and quantitative variables on the individuals.
  • Go to My Data
  • On the left, you'll see some options, choose the one that works.
  • Make sure to Share with our group:
  • If you are viewing the data in the StatCrunch, click Edit and then you can share.

  • There is a cool new option that will grab data from a website
  • Go to http://www.statcrunch.com/bookmarklet
  • Go to that page and read about adding a bookmark called "StatcrunchThis".
  • Then go to the website you want to grab.
  • Click the bookmark
  • Save and data and share it.
Make sure you have described your data so that everyone knows what all the variables mean.
You may do Assignment #2 with a partner IF both of you have joined the AP Stats group.
After you have done assignment #2, email me with your names, your names in StatCrunch and the name of your data set.

Assignment #1 will be checked in class on Friday.
Assignment #2 must be done by 8pm on Thursday night. Anyone who does not receive a reply email from me by 9pm on Thursday night will be considered late.

Find an interesting data set about something you care about!!!

Thursday, August 20, 2009

a little more chapter 4

Ch. 4 #13, 28

Wednesday, August 19, 2009

data, data

Ch. 3 #20
Ch. 4 #9, 12, 17, 24
Don't forget:  if technology fails you, just make a dotplot!
Or you could try making a graph on Statcrunch!
#24 is a problem with statistics done WRONG.  You task is to figure out what is wrong.

Tuesday, August 18, 2009

Nada

No homework today.
If you missed class, read the TI-Tip on page 11 and learn how to put data in your calculator.  Then read (in chapter 4) how to make a histogram.

Monday, August 17, 2009

Review

Ch. 2 #8
Ch. 3 #14
In class we learned how CUSS!

Thursday, August 13, 2009

independent?

Today we started looking at the very important idea of independence.
In class we did Ch. 3 #17 and 18
For homework:  Ch. 3 #15

Wednesday, August 12, 2009

Pie!

Ch. 2 #7
Ch. 3 #6, 8

Tuesday, August 11, 2009

Who?

Ch. 2 #2-6
Read Chapter 1

Monday, August 10, 2009

Day 1

Get set up at StatCrunch.com (instructions below)
Read your syllabus
Get a graphing calculator

Saturday, August 08, 2009

Stat Crunch instructions

Go to:  Statcrunch.com
Click:  Subscribe
Click:  Redeem access code (under the student section!)
Accept terms and then click No
Choose a login name THAT I CAN RECOGNIZE AS YOU!
Enter password and code
Enter personal info

Now find our group and join it!
RCHS AP stats (2nd page of groups)
Then take the survey!

Thursday, May 07, 2009

Competition Information

Information about the Southern California stats event at City of Hope can be found at:

The national ASA information is at:

Friday, May 01, 2009

resources

I had this nifty packet at the Friday review, but I didn't let you take it home.  If you want a copy, you can find here:

If you want the answers to the '02 or '07 MC, email me.

Last weekend!

If you're feeling stuck or frustrated, feel free to email me:
mrmathman@gmail.com

You guys are going to do great!
Mr. D

Thursday, April 30, 2009

Friday review session

I'm available Friday from 1:30 to 7pm
Bring $5 if you want to order pizza at around 4:15.
I'll bring soda and water.
See you then!

O answers

If you want to check your answers to practice test O, click on the Blog Archive on right.  #1-5 are under April 2008 and #6 is May 1, 2008

Wednesday, April 29, 2009

Keep practicing!

Finish test O
Keep working on MC '07!

Tuesday, April 28, 2009

Name that test!

Name: D-4, F-6, H-2 O-6
Name and do:  L-4, L-6, O-2

Monday, April 27, 2009

Web site for Name that Test!

This web site loads slowly, but is pretty nifty:
 
 
Note: the wording on this website is more vague than the AP test. The AP test always asks for "a 95% confidence interval" if it wants an interval (or some other %). Also, the AP problems are longer, and thus have more information that will guide you to deciding what to do. 

However, I think that after you 10 or so of these, you'll get used to the wording of this site and it will be good practice. 

Note: this website includes prediction intervals, which you do not need to know.

Last Week!!

In Class:  E-3 and we discussed the pearl
HW:  H-3, M-6, start the '07 MC

Monday, April 20, 2009

Prom week

Today in class we did:  E-4b, J-2, L-5

Homework this week:
Test P
Test Q
' 02 Multiple Choice

This week:
Practice test on Tuesday, Wednesday, Thursday

Friday:
Homework day

Friday, April 17, 2009

#6

Double points and double length:
E-6, F-6 and J-6

Thursday, April 16, 2009

Inference

We did M4 today and discussed the meaning of a p-value and the meaning of confidence level.

Homework:  MC-A, B-5, G-4

Wednesday, April 15, 2009

Wednesday

In class:  MC quiz and name that test for I-3b, I-5c, J-5a, K-4a, L-4
 
Homework:  A-5, C-2 and L-4

Tuesday

We practiced with L-1. 
 
Name that test!!
A4, A5, B5, C2, D2, E5, F5, G4, H5

Tuesday, April 14, 2009

Monday

Sorry, got a day behind.
In class we practice probability.  We did the practice problems on your prob review sheet from Chapters 14, 15 and 18.
Homework:  finish '97 MC and J-3
'97 MC test on Wednesday!

Friday, April 10, 2009

probability

We reviewed calculator probability problems:
Ch. 6 #25 (normal)
Ch. 17 #13d (binomial)
Ch. 16 #15 (expected value)

HW:  97 MC #1-20

Thursday, April 09, 2009

Design review

Practice:  C-3 and E-4
Homework:  F2, G3 and H4

Wednesday, April 08, 2009

Review so far

Last week we reviewed regression:  C-1, D-1
Today we reviewed Unit 1.
Ogives:  A-1
Practice:  J-1
Homework:  E-1, F-1 and H-1

Friday, April 03, 2009

regression practice

C-1 and D-1

regression

C-1 and D-1

Thursday, April 02, 2009

a little of this, a little of that...

Hopefully you're done with MC-Y by Friday.
Also
Ch. 22 #17 + interval
Ch. 27 #8, test and interval

Tuesday, March 31, 2009

2-prop

Ch. 22 #5, 9, 14
B-4
Work on multiple choice test Y

Tuesday, March 17, 2009

Review for test

From last night's homework, pick one of each:
G of Fit
2-way table
1-t
mp t
2-t

CLT video

http://gallery.me.com/mrmathman/100124

This should help you think about the Central Limit Theorem

Monday, March 16, 2009

t and X^2 review

Name the procedure:
Page 574 #4a, 6, 7, 10, 12, 23, 27, 30acd

Thursday, March 12, 2009

practice, practice

Ch. 26 #5, 6, 10, 14
The X^2 for the evens are:  3.677, 290.131, 479.508 (listed in no particular order!).  But that lets you check your work, at least a little bit!

Wednesday, March 11, 2009

2-way table

Ch. 26 #12 & 13

Tuesday, March 10, 2009

More G of Fit

Ch. 26 #4, 7, 8

Monday, March 09, 2009

G of fit!

Ch. 26 #2

Tuesday, March 03, 2009

2-t (and some not!)

Ch. 24 #9, 14 and 16

Thursday, February 26, 2009

matched pairs

Ch. 25 #14

Wednesday, February 25, 2009

tests and intervals together!

Ch. 23 #28, 29
Ch. 13 #35

Tuesday, February 24, 2009

t-tests

Ch. 23 #17, 21, 25

Monday, February 23, 2009

t-intervals

Ch. 23 #13 & 23

Thursday, February 19, 2009

Due on Friday

Read and answer!
statsarticles.blogspot.com

Tuesday, February 17, 2009

Review!

Page 437 #2, 5, 27, 29, 30
Due Wednesday!
No Late Work!!

Chapter 21 recap

Sample Size!
The bigger the sample size, the more power we have.
We also lower our chances of making either error.

More Sample Size!
We need to be careful with REALLY big sample sizes.
The standard deviation gets really small and you'll always get a small p-value.
This can cloud practical significance: use a confidence interval instead!

Ho is false!
If the Ho is really false, we have lots of power and very little Type
II error (dumb criminal).
If the true value differs only slightly from the Ho, we have little
power and may make a Type II error. (smart criminal)
This is called effect size.

Changing alpha
Making alpha smaller (0.01) makes it harder to reject.
We do this if want less Type I, but are willing to tolerate more Type
II and less power.
i.e., death penalty

Alpha and medicine
If the established treatment is highly effective, you demand a very
small p-value before rejecting (low alpha).
If the standard treatment is not very effective and you have reason to
believe it can be easily improved, you would be more willing to accept
a new treatment even though the p-value is larger (higher alpha).

Thursday, February 12, 2009

website

Want to play around with the web site I showed you Thursday?
Enjoy!

Wednesday, February 11, 2009

error?

Ch. 21 #5, 11, 12 (skip e)

Monday, February 09, 2009

quest tomorrow

Ch. 20 #21, 23 + 90% confidence interval for both

sub work

Ch. 20 #2, 7, 8, 18, 19

Tuesday, February 03, 2009

Tests!

Ch. 20 #9

Monday, February 02, 2009

sample size?

Ch. 19 #3, 8, 13, 25bc
Enjoy!!

Monday, January 26, 2009

End of 18

Ch. 18 #15, 16, 27, 27
Ch. 6 #25e, 27c

Thursday, January 22, 2009

p-hats

Ch. 18 #12-14

Wednesday, January 21, 2009

proportions

Ch. 18 #7, 9, 11

Monday, January 12, 2009

Finals!

An easier simulation is:
Ch. 11 #19
You could look back on old homework, too (Chapter 11)

If you get totally stuck, send me an email, I'll send some answers.

Wednesday, January 07, 2009

Binomial practice

Ch. 17 #13-21 odd

Tuesday, January 06, 2009

more review

Page 342 #20, 25, 26

Monday, January 05, 2009

Probability review

Page 340 #1, 2, 5, 15, 16, 19, 20