 Course Information   Lecture Notes   Homework   Office Hours   Exam Solutions   Final Exam Information   R   Grades  
Bret Larget
and
Jun Zhu.
are the professors for Statistics 571 in Fall 2005. 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. 
Lecture #  Pages  Topic  PDF Notes (slides per page) 

1 2 3 4  118 1930 3142 4355  Descriptive Statistics Descriptive Statistics Probability Models Random Variables  [1], [2], [4], [8] 
5 6 7 8  5664 6575 7689 9099  Binomial Distribution Standard Normal Distribution General Normal Distribution; Sampling Distributions Sampling Distributions  [1], [2], [4], [8] 
9 10 11 12  100110 111119 120122 123130  Significance Tests with Known Variance Significance Tests with Unknown Variance Significance Tests with Binomial Data Significance Tests Using CLT  [1], [2], [4], [8] 
13  131147  Confidence Intervals  [1], [2], [4], [8] 
14 15 16 17  146152 153173 174182 183192  On Assumptions More on Hypothesis Testing Paired Two Samples Independent Two Samples  [1], [2], [4], [8] 
18 19 20 21  193202 203207 208225 226233  Nonparametric Methods Comparing Two Proportions Oneway ANOVA Comparisons among Means  [1], [2], [4], [8] 
2223 2425 26 27  234247 248271 272278 279291  Multiple Comparisons Simple Linear Regression Correlation Categorical Data  [1], [2], [4], [8] 
Person  Hours  Location  Phone  

SangHoon Cho:  Fri 11:302pm  MSC 4185  2621577  cho@stat.wisc.edu

Bret Larget:  Mon 1112pm Tues 3:455pm Wed 89:30am  MSC 1250A  2627979  larget@stat.wisc.edu

Xiwen Ma:  Mon 12pm Fri 11:30am1:00pm  MSC 4185  2635948  xiwenma@cs.wisc.edu

Tao Yu:  Wed 11amnoon Thu 2:304pm  MSC 1275A  2621577  yutao@cs.wisc.edu

Jun Zhu:  Tue 2:303:30pm Thurs 12:30pm  MSC 1214  2633615  jzhu@stat.wisc.edu

Exam  Solutions 

Midterm 1  [PDF] 
Midterm 2  [PDF] 
Your exam on October 11 will contain four or five questions, each with several parts. Most questions will be very similar in style to those on some previous exams, but you should expect that some questions might test the course material in a novel fashion. The exam this year will cover material through the central limit theorem, and will not cover hypothesis testing. We have absolutely no expectation that you will go through each past exam in detail, but provide them so that you have an ample selection of problems from which to study. 
Year  Midterm 1 Exam  Midterm 1 Solutions  Midterm 2 Exam  Midterm 2 Solutions  Final Exam  Final Solutions 

1998  [PDF]  [PDF]  [PDF]  [PDF]  [PDF]  [PDF] 
1999  [PDF]  [PDF]  [PDF]  [PDF]  [PDF]  [PDF] 
2000  [PDF]  [PDF]  [PDF]  [PDF]  [PDF]  [PDF] 
2001  [PDF]  [PDF]  [PDF]  [PDF]  
2002  [PDF]  [PDF]  [PDF]  [PDF]  [PDF]  [PDF] 
2003  [PDF]  [PDF]  [PDF]  [PDF]  [PDF]  [PDF] 
2004  [PDF]  [PDF]  [PDF]  [PDF]  [PDF]  [PDF] 
The final exam is scheduled
from 7:25pm to 9:25pm on Wednesday, December 21 in 2103 Chamberlin Hall. The exam will have five questions, but may be slightly longer than the midterms by containing more parts. The final exam is comprehensive. Approximately one half of the points will cover material since the last midterm (such as ANOVA, multiple comparisons, and simple linear regression) and about 20 and 30% of the exam will cover material from before the first and second midterms, respectively.

There will be a special review session
led by Tao Yu on Friday, December 16 from 23pm in 3425 Sterling Hall. You may pick up your most recent homework assignment from any instructor or ask for help during the following special office hours on Tuesday, December 20.
Introduction to RIntroduction to R for Statistics 571R Appendices to the Course Notes
R Guides (developed for Statistics 371 by Bret Larget)
Last modified: December 14, 2005 Bret Larget, larget@stat.wisc.edu 