Check www.stat.wisc.edu/~jgillett/224 for updates to this tentative syllabus.
Goals
You will understand statistical concepts and methods including
collecting, describing, and displaying data; fitting a line to data;
probability, random variables, and probability distributions; random
sampling and sampling distributions; inference about means and
proportions, including confidence intervals and hypothesis tests;
factorial experiments; and statistical quality control.
You will be a critical reader of statistical claims.
Teachers
| Name | Office hours | Phone | |
| Gillett, John | MSC 1217A | 262-7478 | jgillett@wisc.edu |
| Chen, Han | MSC 1335 E | hanchen@stat.wisc.edu | |
| Phan, Long | MSC 1245 D | phan@stat.wisc.edu | |
| Wang, Song | MSC 1335 S | songwang@stat.wisc.edu | |
Class Times
| Lecture | 002 | MWF 9:55-10:45 | Social Sciences 5231 (Gillett, John) |
| Discussions | 321 | Mo 2:25-3:15 | Social Sciences 6322 (Chen, Han) |
| 323 | Mo 3:30-4:20 | Education L173 (Chen, Han) | |
| 324 | Mo 1:20-2:10 | Social Sciences 6310 (Chen, Han) | |
| Lecture | 001 | MWF 11:00-11:50 | Education L196 (Gillett, John) |
| Discussions | 311 | We 1:20-2:10 | Engineering Hall 2341 (Phan, Long) |
| 312 | We 12:05-12:55 | Education L151 (Phan, Long) | |
| 313 | We 2:25-3:15 | Engineering Hall 3359 (Phan, Long) | |
| 315 | Th 12:05-12:55 | Noland 342 (Phan, Long) |
Textbook
Principles of Statistics for Engineers and Scientists by
William Navidi (ISBN-13: 9780077289317). (A cheaper electronic version
is at www.CourseSmart.com.)
Computing
A scientific calculator is required for exams and
homework. Here
are instructions for some
common calculators. A computer is required for
homework. If you have a laptop, bringing it to
discussion will be helpful on days that TAs discuss
OpenOffice Calc (a free version of Excel).
Help
The TAs and I are eager to help in class and office hours. Free
tutors are available daily in MSC 1586: see
www.stat.wisc.edu/courses/Tutorial_Schedule.
Grades
About 700 points are available on two midterm
exams (150 each), a final exam (200), homework (112),
and online quizzes (88).
I'll assign grades according to the percentage scale,
A = [92,100], AB = [88,92), B = [82,88), BC = [78,82),
C = [70,78), D = [60,70), F = [0,60) (92% of points =>
A); and according to the percentile scale, A = 70, AB
= 60, B = 45, BC = 30, C = 10, D = 5, F = 0
(performing better than 70% of the class => A). Your
grade will be the higher of these two grades.
Homework and online quizzes will usually be due Fridays at the start of lecture. I'll post them in the schedule, below, a week before they're due. Write your name, discussion number, and TA on the first page of homework. Show your work. Homework must be easily legible, with pages joined by a staple. Homework is graded on this scale:
| 8/8 | almost all correct, with adequate work shown |
| 6/8 | pretty good |
| 4/8 | incomplete, or a lot wrong, or inadequate work shown |
| 0/8 | not turned in or some other big problem |
If you anticipate religious or other conflicts with course requirements, or if you require accomodation due to disability, you must notify me during the first three weeks of class. You may not make up missed homework or exams, except in the rare case of a documented, serious problem beyond your control. (Well, there's an exception: if you give me late homework in person before I leave on Friday, which is usually around 2:30, I'll accept it with a 25% late penalty.)
I encourage you to discuss the course with others, but you must write homework, quizzes, and exams by yourself and prevent others from copying your work. (See the UW Academic Misconduct policy.)
Lecture notes
I'll post lecture notes a week at a time by changing
book section numbers (like "1.1") in the schedule,
below, to links.
Tentative Schedule
| Week #: Date | Subject | Due |
| 01: 1/20/13 | (classes start Tuesday) 1 Summarizing Univariate Data 1.1 Sampling 1.2 Summary Statistics 1.3 Graphical Summaries |
F 1/25: nothing |
| 02: 1/27 | (Discussion: 1.2.10ab.txt, 1.2.10ab.xls) 2 Summarizing Bivariate Data 2.1 The Correlation Coefficient 2.2 The Least-Squares Line 2.3 Features and Limitations of the Least-Squares Line |
F 2/1: 1.1: 2,3,4,5 1.2: 1-9,12,14,16 1.3: 2,4,6,8,12 Quiz 1 (login help, hint) |
| 03: 2/3 |
(Discussion: 2.txt) 3 Probability 3.1 Basic Ideas 3.2 Conditional Probability and Independence 3.3 Random Variables |
F 2/8: 2.1: 2,3,7,8 2.2: 6 2.3: 4,7,10 Quiz 2 |
| 04: 2/10 |
3.4 Functions of Random Variables 4 Commonly Used Distributions 4.1 The Binomial Distribution |
F 2/15: 3.1: 2,5,8 3.2: 1,3,4,6,10,11 3.3: 3,6,7,9,14 3.4: 1(a,b),5,10,14 Quiz 3 |
| 05: 2/17 |
4.2 The Poisson Distribution 4.5 The Exponential Distribution 4.6 Some Other Continuous Distributions 4.3 The Normal Distribution 4.4 The Lognormal Distribution |
F 2/22: 4.1: 1(a,c,e,f),5,13,16 4.2: 1,7,8 4.5: 3,6 4.6: 1 (no quiz) |
| 06: 2/24 |
4.7 Probability Plots 4.8 The Central Limit Theorem 5 Point and Interval Estimation for a Single Sample 5.1 Point Estimation 5.2 Large-Sample Confidence Intervals for a Population Mean Review Q & A |
F 3/1: 4.3: 1-4,9,11 4.4: 1,6 4.7: 1,5,6 4.8: 2,3,11 Quiz 4 |
| 07: 3/3 | Exam 1: Monday, March 4 (rules, formulas, tables, last semester's exam and key) (key 1; key 2; midterm 1 course grades) 5.3 Confidence Intervals for Proportions 5.4 Small-Sample Confidence Intervals for a Population Mean (t table) [omit 5.5 Prediction Intervals and Tolerance Intervals] |
F 3/8 5.1: 1,2,3,4,5 5.2: 1(a,b),2(a,b),3,5 (no quiz) |
| 08: 3/10 |
6 Hypothesis Tests for a Single Sample 6.1 Large-Sample Tests for a Population Mean 6.3 Tests for a Population Proportion 6.2 Drawing Conclusions from the Results of Hypothesis Tests |
F 3/15: 5.3: 1,12 5.4: 1(a,b),3(a,b),6,8,10,14 Quiz 5 6.1: 1,3,10,12,14 |
| 09: 3/17 |
6.4 Small-Sample Tests for a Population Mean 6.5 The Chi-Square Test (6.5.5.xls) 6.8 Multiple Tests |
F 3/22: 6.3: 1,6,9,12,13 6.2: 1-5,7,9b,12-14,16 6.4: 1,3,6,12,13 (no quiz) |
| [3/24] | [Spring break] | |
| 10: 3/31 |
6.6 Fixed-Level Testing (9:55 seating, 11:00 seating) 6.7 Power 7 Inferences for Two Samples 7.1 Large-Sample Inferences on the Difference Between Two Population Means |
F 4/5: 6.5: 1,2,9,10,13,14 6.8: 1,3 6.6: 1,2bcd,3,6 (no quiz) |
| 11: 4/7 |
7.2 Inferences on the Difference Between Two Proportions 7.3 Small-Sample Inferences on the Difference Between Two Means 7.4 Inferences Using Paired Data |
F 4/12: 6.7: 1-5,8,9 Quiz 6 7.1: 1,18,20 7.2: 4,7,15,20,21 |
| 12: 4/14 | Exam 2: Monday, April 15 (rules; formulas, tables, last semester's exam and key) (key; midterm 2 course grades) 7.5 The F Test for Equality of Variance 8 Inference in Linear Models 8.1 Inferences Using the Least-Squares Coefficients (8.1.6.xls) |
F 4/19: 7.3: 8,16,22,23 7.4: 7,8,14,18,19 (no quiz) |
| 13: 4/21 | 8.2 Checking Assumptions 8.3 Multiple Regression (8.3.xls) [omit 8.4] |
F 4/26: 7.5: 1-4 Quiz 7 8.1: 1a-e,3a-e,4,9a-d,15 |
| 14: 4/28 |
9 Factorial Experiments 9.1 One-Factor Experiments 9.2 Pairwise Comparisons in One-Factor Experiments 9.3 Two-Factor Experiments |
F 5/3: 8.2: 1abc,3,7,9 8.3: 1,2,9a-c,11,15,18 9.1: 1,8,10,11 Quiz 8 |
| 15: 5/5 |
9.4 Randomized Complete Block Designs 9.5 2p Factorial Experiments 9.5 (part 2) [omit 10] |
F 5/10: 9.2: 1,7,9 9.3: 1,5 9.4: 1,2,4 |
| Final Exam | (rules, formulas) Lecture 1 (MWF 11:00): Thursday May 16 2:45-4:45 MICROBIAL SCIENCES 1520 Lecture 2 (MWF 9:55) Tuesday May 14 12:25-2:25 CHEMISTRY B371 |
(9.5: 3,6,8, but don't turn it in) (optional Quiz 9: scores won't show up in Learn@UW) |