Instructor: Prof. Jaimie Kwon (Homepage)
Lecture: MW ScN 207, 8:00-9:50 pm
Objectives: We will learn about the following concepts and techniques:
Stat 3502: Random variables, sampling distributions (binomial, Poisson, normal, exponential), conditional probability. Estimation, hypothesis testing. Computer-aided computations. Topics include: t-tests, correlation, regression; proportions, chi-squared; ANOVA. Cross-listed with MATH 3502. Prerequisite: MATH 1305 or MATH 1820.
Stat 4612: Probability ideas essential to statistical inference. Estimation and hypothesis-testing for univariate and bivariate data. Individual projects involving computer-aided analysis of real data. Prerequisites: senior or graduate standing, an upper-division STAT course, and MATH 2304.
Required Text:
An Introduction to Statistical Methods and Data Analysis
by R. Lyman Ott, Micheal T. Longnecker,Duxbury Press; 5th edition (December
20, 2000), ISBN: 0534251226
Syllabus
| Week | Lecture Notes (PDF) |
HW (Usually due in a week) Only some of questions will be graded but students are encouraged to do as many problems as they can. | Notes |
| 1 |
Monday |
Topics covered: statistics; bar/pie charts; histogram; various shapes of distribution; Minitab; HW #1: Ch2 2.2, 2.3 Please UPDATE your blackboard email address! I send out announcements via email from time to time |
Prof. Trumbo's Minitab Link Prof. Trumbo's basic stat handouts Prof. Suess's stat 3052 handouts (some overlap with Prof. Trumbo's materials above) Minitab download (emailed to blackboard emails; announced in class; posted on blackboard as well) R download (website) Ott and Longnecker data file, especially "Datafile Minitab" (zipped; link corrected) in Data Library link of Duxbury site. |
| 2 | Monday Wednesday |
Topics covered: measures of variability (range; IQR; var/sd); boxplot; outliers; probability; conditional probability; (Bayes' formula;) Waitlisted students: Please check if you're in on or after Thursday (4/7). If you're not in even if you signed the addition sheet, please see me next Monday (4/11) Read the sections in probability chapter. |
Minitab tutorial (minitab.pdf) |
| 3 | Monday Wednesday |
Topics covered: random variables; binomial random variable; normal distribution; sampling distributions; central limit theorems HW #2: Ch4 4.8, 4.10, 4.14, 4.15, 4.16, 4.21, 4.30, 4.37, 4.45, 4.50, 4.51, 4.57, 4.58, 4.59, 4.60, 4.62, 4.63, 4.72, 4.74, 4.80, 4.81, 4.88, 4.90, 4.95, 4.102, 4.113 * Due Monday (4/18) * 4612 students: Also do exercises 4.23, 4.28, 4.29 (Bayes formula) |
Quiz on Coming Monday (4/18/2005) |
| 4 | Monday Wednesday |
Topics covered: Inference about population central value; interval estimate; level of confidence; confidence coefficient; 99% confidence interval; |
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| 5 | Monday Wednesday |
Topics covered: Type I and Type II error probabilities; P-value HW #3:Ch 5, 5.3, 5.5~5.7, 5.18, 5.19, 5.25~5.27, 5.40~5.43, * Latest Addition: Exercise 5.55. Use Minitab using the datafile on the webpage (ex5-55); do them using both "1-sample z" and "1-sample t" procedures and compare the outputs * Latest Deletion: Don't need to do 5.48~5.51 (t-test stuff) Optional problems: (no extra credit but doing these will help you preparing for the test) Ch5 5.13, 5.14, 5.21, 5.34, 5.38, 5.39, 5.56, 5.57, 5.59 * Due Wednesday (5/4) |
quiz #1 and solution (pdf) |
| 6 | Monday Wednesday |
Topics covered: P-value; t-test; Minitab |
The midterm will be given on May 9, 2005 (Monday). |
| 7 | Monday Wednesday |
Monday (5/9) is the Midterm Topics covered; Ch. 5 t-test; HW #4: 5.48, 5.50, 5.51, 5.56, 5.57 (t-test) |
midterm solution (pdf) |
| 8 | Monday Wednesday |
Minitab on Monday [everything below this line (grey characters) is tentative] Topics covered: Ch.7 inferences about population variances; Ch.8 inferences about more than two population central values (ANOVA) HW #5: |
Minitab files |
| 9 | Monday Wednesday |
There will be in-class open-book open-note quiz on Wednesday (5/25). It will cover Section 5.7 (t-test), Chapter 6, 7 and 8. Of course, problems will come only from those sections which I covered in class. Remember that main focus of the quiz is to prepare for the final. Since the Quiz covers the material related to HW #5, I posted solutions to the HW 5 in the links in the group email. Two important points: * You still need to submit the HW on Wednesday. Use the solutions as the last resort and for checking your answers! * You're NOT allowed to bring the printout copies of those solutions to the quiz. Topics covered: Ch. 10 categorical data; HW #6: Also, don't forget the class project (<=3 pages
report) Final is on Monday (5/6) 8:00 - 9:50 PM |
Wednesday Quiz and solution (pdf) |
| 10 | Monday Wednesday |
Monday (5/30) is Memorial Day Holiday. No class. Topics covered: Ch. 11linear regression and correlation Stat 3502 Project: |
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| 11 | Monday |
Final is on Monday (5/6) 8:00 - 9:50 PM "Although the exams will be "closed-book", you will be allowed to prepare and use one 8.5" x 11" sheet of notes (on both sides). These notes must be written by hand and may not be composed of photocopies or other machine reproductions of the textbook or of handouts of homework solutions. Also bring your student ID, your own paper (8.5" x 11") and a hand calculator for use during midterm and final exams. |
Last updated 05/31/2005