STATISTICS 301: INTRODUCTION TO STATISTICAL METHODS (FALL 2007) LECT DAY TIME PLACE INSTR OFFICE OFF HRS PHONE EMAIL 002 MWF 8:50 am 331 SMI Gary Schroeder MSC 1217A M&W: 11:00 – 12:45 (except exam days) 2-7478 [email protected] (Put “Stat 301” in subject line) DISC DAY TIME PLACE TA OFFICE OFF HRS PHONE EMAIL 321 R 1:20 pm B 211VanVleck 322 W 2:25 pm 23 Ingraham 323 R 2:25 pm 586 VanHise 324 R 4:00 pm 375 VanHise 325 W 12:05 pm 144 VanHise 326 W 1:20 pm B 235 VanVleck COURSE MATERIALS: • TEXT: Statistical Reasoning and Methods (Alternate Edition) Authors: Richard Johnson & Kam-Wah Tsui Publisher: Wiley ISBN: 0-471-67219-X or 9 780471 672197 • STANDARD CALCULATOR: Include Exponential functions. TOPICS: Text chapters 1– 12, although the Lecture and Discussion will best define the course content. COURSE POINTS: SOURCE DISC EXAM 1 EXAM 2 EXAM 3 FINAL EXAM TOTAL DATE W: 09/26 In-class (early start) W: 10/24 In-class (early start) W: 11/28 In-class (early start) M: 12/17 12:25 P.M. Room TBA POINTS 80 100 100 100 120 500 CURVE: The following are percentage ranges - A AB B BC C D [92, 100] [88, 92) [82, 88) [78, 82) [70, 78) [60, 70) NOTES: 1. Attendance is mandatory on exam days. Make-up exams will be approved only in serious circumstances. Make-up requests are directed first to your TA and the TA presents the case to me. 2. To receive full-credit on an exam or homework problem you must justify your answer. A simple conclusion or numerical answer may receive no credit. 3. Notes or the text are not allowed for midterm exams. Exam computations are to be done using definitions (some “calculation formulas” exist - these will not be used on exams). 4. Homework will be collected in Lecture on Mondays. If you miss Lecture, you’ll need to get your homework to your TA no later than noon on the day it is collected. Late homework will not be accepted. Homework will be graded and returned by your TA in the next Discussion. 5. If you are unable to attend class, you are responsible for learning the material reasonably quickly. STUDY ADVICE: 1. Take lecture notes and complete the details. 2. Write down what you’ve learned and do problems. For some people working with one or two others is helpful. Reading lecture or text material over and over is not of much use. 3. Study regularly. Statistics is best learned in smaller doses (it is also more palatable this way). Not sleeping for nights before an exam is an inefficient way to learn Statistics. 4. Exam problems will resemble homework problems. To gain experience on working on problems with a real time constraint practice on 5 or 6 homework problems you haven’t done for awhile, using the same time limit as the real exam. 5. Address difficulties promptly. Statistics Department Medical Sciences Center 1300 University Ave. Madison, WisconsinCHAPTER SECTION HOMEWORK PROBLEMS 1 8 7 9 15 17 2 3 1 10 18 22 27 4 20 5 1 17 32 33 6 1 7 24 3 2 1 5 1-5 4 2 10-12 15 18 3 1 8-10 13 14 5 1 3 5 7 8 10-12 15 19 22 25 6 1-4 6-8 5 2 1 9 23 3 1 11 13 15 4 1-4 8 9 5 1-7 11 19 20 6 3 4 6 2 1-7 4 1 3 5 7 5 1 3 5 6 11 6 1 3 5 8 14 7 2 1 3 4 6-8 3 1 6 9 10 17 19 8 2 2 3 7-9 12 3 2 3 10 16 4 1-4 10 11 14 9 2 4 5 3 2 6 8 10 11 4 4 5 2 5 6 10 1 3 4 2 6 12 17 3 4 4 11 11 2 8 10 16 3 14 15 4 3 5 4 12 2 1 4 11 13 3 1 3 4 1 4 5 5
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