Course Information   Lecture Notes   Homework   Office Hours   Exam Solutions   Final Exam Information   R   Grades  
You may take the exam at either location, even if registered for the other course. We expect almost all of you will attend the exam you typically attend for lecture.
You will need normal and t tables for the exam.
If you have a book, they are there.
If not, please print out copies and bring them with you to the exam.
Whitlock and Schluter Tables
Bret Hanlon.
and
Bret Larget
are the professors for Statistics 571 in Fall 2010. We share a common course syllabus, will work from the same lecture notes, give common homework assignments, and give common examinations. We will strive to cover the same topics at nearly the same pace. Students are free to attend the alternative lecture when desired. 
Date  Topic  Notes [slides per page]  Text  Handouts/Comments 

Sept. 2  Introduction  [1] [2] [4]  
Sept. 2  Data  [1] [2] [4]  1.1, 1.3, 1.5  
Sept. 7  Population and Samples  [1] [2] [4]  1.2, Interleaf 2  Easton etal. (2010) Time article 
Sept. 921  Inference for Proportions Binomial and Discrete Distributions Linearity of Expectation and Variance Sampling Distribution of Sample Proportions Confidence Intervals for Proportions Hypothesis Testing for Proportions  [1] [2] [4]  3.4 4.14.2 5.15.6 6.16.7 7.17.4 Interleaf 3  R Appendix to Lecture R code for the Apendix gbinom.R 
Sept. 2328  Probability  [1] [2] [4]  5.15.10  
Sept. 2830  Contingency Tables  [1] [2] [4]  9.19.7  Minor correction made October 12, on slide 44. 
October 46  Normal distribution t distribution central limit theorem  [1] [2] [4]  10.110.6, 11.1  
October 1214  Inference for a Single Population Mean Graphs Confidence Intervals using tdistribution Bootstrap confidence intervals The onesample ttest  [1] [2] [4]  2.12.2, 11.111.2, 19.3  Notes include hypothesis testing; Some typos were corrected on slides 27 and 33; 
October 2128  Inference for a Two Population Means Graphs Randomization Tests  [1] [2] [4]  19.2  Several spelling errors corrected. Slides 36 and 39 have major corrections (posted October 28) 
November 24  Power and Sample Size  [1] [2] [4]  14.7  
November 4  Assumptions and Transformations  [1] [2] [4]  13.113.3, 13.813.9  
November 9  Elements of Experimental Design  [1] [2] [4]  14.114.9  
November 1118, 30  ANOVA  [1] [2] [4]  19.1, 15.115.8  New slides begin with slide 68. 
November 23  Midterm Exam 2  
November 25  Eat Turkey  
December 2  Correlation  [1] [2] [4]  16.116.4  
December 714  Regression  [1] [2] [4]  Interleaf 4, 17.117.10  Notes updated on December 9. 
Date  Handouts 

Week of September 6  r.pdf lab1.pdf cows.txt plantation.txt 
Week of September 13  disc1.pdf 
Week of September 20  disc02.pdf 
Week of September 27  disc04.pdf 
Week of October 4  disc5.pdf 
Week of October 11  disc6.pdf 
Week of October 25  disc07.pdf 
Week of November 1  disc08.pdf 
Week of November 8  disc09.pdf 
Week of November 15  disc10.pdf 
Week of November 29  disc11.pdf 
Week of December 6  disc122.pdf 
Week of December 13  disc13.pdf 
Assignments are due by 4:00 P.M. on the date due. Late homework is not graded. 
Assignment  Date Given  Date Due  Extras  Solutions 

Assignment #1  September 2  September 10  
Assignment #2  September 10  September 17  
Assignment #3  September 17  September 24  
Assignment #4  September 24  October 1  gbinom.R  
Assignment #5  October 1  October 8  mosaic.R  
Assignment #6  October 8  October 15  
Assignment #7  October 22  October 29  R Handout lizards.txt  
Assignment #8  October 30  November 5  My recommendation is to put R code for solving each problem into a file
which you can then source() into an R session. See the example for problem 9b using these files. cichlids.txt cichlids.R  
Assignment #9  November 5  November 12  power.R  
Assignment #10  November 12  November 19  
Assignment #11  November 24  December 3  daphnia.csv lodgepole.csv  
Assignment #12  December 6  December 14  beetle.txt 
Person  Hours  Location  Phone  

Bret Hanlon:  Tue 8:009:00am Thur 12:301:30pm  MSC 1241  2622539  hanlon@stat.wisc.edu

Bret Larget:  Tue 11am12pm Wed 2:003:30pm Thur 1:303pm  MSC 1250A  2627979  brlarget@wisc.edu

Quefeng Li:  Tue 2:304:30pm  MSC 1270  2623230  quefeng@stat.wisc.edu

Jingjiang (Jack) Peng:  Thur 23pm Fri 12:151:15pm  MSC 1275  2621577  peng@stat.wisc.edu

Fan Yang:  Wed 1011am, 2:303:30pm  MSC 1335  2628182  fyang@stat.wisc.edu

Exam  Solutions 

Midterm 1  Solution 
Midterm 2  Solution 
Handout  Extra Files 

Handout 1  cows.txt 
Handout 2  
Handout 3  temperature.txt sockeye.txt pseudoscorpions.csv 
Bret Larget, brlarget@wisc.edu