Statistics 571

Statistical Methods for Bioscience I

| 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.


Course Information


Lecture Notes

Index to Notes [PDF]

Lecture #PagesTopicPDF Notes
(slides per page)
1
2
3
4
1-18
19-30
31-42
43-55
Descriptive Statistics
Descriptive Statistics
Probability Models
Random Variables
[1], [2], [4], [8]
5
6
7

8
56-64
65-75
76-89

90-99
Binomial Distribution
Standard Normal Distribution
General Normal Distribution;
Sampling Distributions
Sampling Distributions
[1], [2], [4], [8]
9
10
11
12
100-110
111-119
120-122
123-130
Significance Tests with Known Variance
Significance Tests with Unknown Variance
Significance Tests with Binomial Data
Significance Tests Using CLT
[1], [2], [4], [8]
13 131-147 Confidence Intervals [1], [2], [4], [8]
14
15
16
17
146-152
153-173
174-182
183-192
On Assumptions
More on Hypothesis Testing
Paired Two Samples
Independent Two Samples
[1], [2], [4], [8]
18
19
20
21
193-202
203-207
208-225
226-233
Nonparametric Methods
Comparing Two Proportions
One-way ANOVA
Comparisons among Means
[1], [2], [4], [8]
22-23
24-25
26
27
234-247
248-271
272-278
279-291
Multiple Comparisons
Simple Linear Regression
Correlation
Categorical Data
[1], [2], [4], [8]


Homework Assignments

Office Hours

PersonHoursLocationPhoneE-Mail
Sang-Hoon Cho:Fri 11:30-2pm MSC 4185262-1577cho@stat.wisc.edu
Bret Larget:Mon 11-12pm
Tues 3:45-5pm
Wed 8-9:30am
MSC 1250A262-7979larget@stat.wisc.edu
Xiwen Ma:Mon 1-2pm
Fri 11:30am-1:00pm
MSC 4185263-5948xiwenma@cs.wisc.edu
Tao Yu:Wed 11am-noon
Thu 2:30-4pm
MSC 1275A262-1577yutao@cs.wisc.edu
Jun Zhu:Tue 2:30-3:30pm
Thurs 1-2:30pm
MSC 1214263-3615jzhu@stat.wisc.edu


2005 Exam Solutions

ExamSolutions
Midterm 1[PDF]
Midterm 2[PDF]

Old Exams and Solutions

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.

YearMidterm 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]


Final Exam Information

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.

Special Office Hours

There will be a special review session led by Tao Yu on Friday, December 16 from 2-3pm 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.

PersonTimeLocation
Ma12-1MSC 1335
Zhu1-2MSC 1214
Yu2-3MSC 1275A
Larget3-4MSC 1250A
Cho4-5MSC 1275A


Introduction to R

Introduction to R for Statistics 571

R Appendices to the Course Notes

  • R Appendix to Chapter 2 [PDF]
  • R Appendix to Chapter 4 [PDF]
  • R Appendix to Chapter 5 [PDF]
  • R Appendix to Chapter 6 [PDF]
  • R Appendix to Chapter 7 [PDF]
  • R Appendix to Chapter 8 [PDF]
  • R Appendix to Chapter 9 [PDF]
  • R Appendix to Chapter 10 [PDF]
  • R Appendix to Chapter 11 [PDF]
  • R Appendix to Chapter 12 [PDF]
  • R Appendix to Chapter 13 [PDF]
  • R Appendix to Chapter 14 [PDF]
  • R Appendix to Chapter 15 [PDF]

R Guides (developed for Statistics 371 by Bret Larget)

  1. Introduction [PDF]
  2. Installation [PDF]
  3. Some Basics [PDF]
  4. Entering Data [PDF]
  5. Exploratory Data Analysis [PDF]
  6. Probability Distributions[PDF]

Last modified: December 14, 2005

Bret Larget, larget@stat.wisc.edu