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!!