SYLLABUS - STT 200-3, Fall 2008

Lectures - MWF 11:30 - 12:20 Wells Hall B106

Title: STATISTICAL METHODS. 3 credits.

Instructors: Professor Jennifer Kaplan, A443 WH, 432-2354, kaplan@stt.msu.edu

TA: Ms. Guanqun “Vivian” Cao, A505 WH, cao@stt.msu.edu

Section 9 Tuesday 11:30 - 12:20 C104 WH

Section 10 Tuesday 12:40 – 1:30 C212 WH

Section 11 Tuesday 1:50 - 2:40 C108 WH

Section 12 Tuesday 3:00 - 3:50 C105 WH

Website: http://www.angel.msu.edu

Office Hours: Professor Kaplan: M 1 – 2 pm, W 2 – 3 pm, or by appointment A443 Wells Hall

Ms. Vivian Cao: M 10:10 – 11:10 am, W 9 – 10 am, Th 10 – 11 am, A505 Wells Hall

In addition, some walk-in help will be provided in the Stat Help Room, C100 WH. Hours will be announced when they are known.

Course

Topics: Data collection, data analysis, probability models, random variables, estimation, tests of hypotheses, confidence intervals, contingency tables, and simple linear regression.

Learning

Objectives: Statistics is a discipline that supports research and development; its methods help scientists, doctors, engineers, attorneys, educators, communicators, and almost all researchers and decision-makers be effective in gathering information, presenting it and using it intelligently. In fact, persons in all walks of life use data and information in daily living and decision-making. We are awash in information; it is essential that we learn to deal with it effectively. This course will help show you how the science of probability and statistics gives you guidance for both your daily life and in your chosen profession.

Our

Approach: The course objectives will be approached and hopefully achieved through our involvement with real applications. The textbook readings will provide background in data collection, data analysis and statistics. The lectures will provide context for the methods through activities and applications. The recitations will provide activities as well as clarifications and explanations in regard to problem solving at the textbook exercise level.

Prerequisite: MTH 103 or designated score on mathematics placement test

Text: De Veaux, Velleman and Bock, Intro Stats, Third Edition, Pearson Education, Inc., Addison Wesley, 2008.

Calculator: You may use whatever calculator you wish. In the past, however, students have found it useful to have a TI-83 (or 84). It is your responsibility to learn how to use your calculator. You should practice using the calculator you will use for the exams when completing homework exercises

Homework: A list of suggested exercises from the chapters is included in this document. Each week several problems will be assigned to be handed in. The assignment will be announced in class on Monday and will be due in class on Friday. You are expected to write complete solutions to these few problems. There will be thirteen assignments; the ten best will count towards your grade. Each will be graded out of 10 possible points. The grade you receive on a homework assignment will reflect the grade you would be likely to receive for an answer of similar quality if given on a test. Late homework will not be accepted.

Assignments due on Test weeks that are submitted on Monday will be returned, graded, in class on Wednesday.

The suggested exercises are intended to give the student an idea of the types of problems the professor values while providing practice for the student. It is expected that the suggested exercises will provide a starting point for the recitation sections. The TA, however, will not provide solutions to the exercises that are to be turned in until after the homework has been collected.

Clickers and

Attendance: Each class period there will be clicker questions interspersed with lecture and examples. To earn credit for the day, you must answer at least 75% of the questions and at least one must be answered correctly. The proportion of days on which you receive clicker credit will be applied to 50 points total across the entire semester. You may miss up to three classes and still receive full credit for clickers and attendance.

If a student is caught using two clickers both owners will be penalized 10 semester clicker points.

Tests: There will be three in-class tests during the semester (75 points each) and a cumulative final exam on Thursday, December 11, 10:00am – 12:00noon (150 points).

Bring a picture ID to all tests and exams.

The dates for the tests are below. There will be no make up tests. In an extreme circumstance, with documentation, for example, jury duty or a death in the family, arrangements may be made for a missed exam.

During tests and exams, cell phones are to be off and stowed where they cannot be seen. If your phone rings during an exam or you are seen with your phone out of your bag, you will be asked to leave the room and will receive a zero on the test.

Grading: Your final grade will be calculated out of 525 points: 100 for homework, 50 for clickers, 225 for three tests and 150 for the final exam. I expect to use the following grading scale:

4.0: 470 – 525 2.5: 390 – 419 1.0: 285 – 339
3.5: 445 – 469 2.0: 365 – 389 0.0: 0 – 285
3.0: 420 – 444 1.5: 340 – 364

Disclaimer: The instructor reserves the right to make any changes she considers academically advisable. Changes will be announced in class and posted on the class website. It is your responsibility to keep up with any changed policies.

Important

Dates: Aug 25 First day of Classes Oct 24 Test 2

Aug 29 Close of adds Nov 24 Test 3

Sep 1 Labor Day Holiday Nov 27 – 28 Thanksgiving Holiday

– No Classes – No classes

Sep 18 End of 100% refund

Sep 26 Test 1 Dec 5 Last Day of Classes

Oct 14 Middle of the semester – Dec 11 Final Exam

last day to drop with no grade

reported

Suggested Exercises:

Chapter 2: 1, 3, 7, 11, 13, 19;

Chapter 12: 1, 3, 9 – 11, 19, 25, 26, 34;

Chapter 11: 1, 2, 5, 11 – 14, 19, 25, 40;

Chapter 13: 1, 3, 10, 11, 14, 17, 23, 38, 39, 46, 47, 51;

Chapter 3: 5 – 7, 15, 19, 23, 25, 27, 35;

Chapter 4: 5, 7, 10, 13 – 15, 21, 27, 37, 41, 43, 46;

Chapter 5: 5, 7, 9, 11 – 15, 19, 20, 25, 29, 30, 33, 44, 46;

Chapter 6: 1, 3, 7 – 9, 11, 13, 17, 25, 28, 34, 53, 54;

Chapter 16: 3, 5, 7, 17, 18, 21, 27, 36, 37;

Chapter 17: TBD

Chapter 18: 1, 3, 5, 7, 8, 13, 15, 18, 20, 21, 29, 31, 33, 38;

Chapter 19: 1, 3, 5 – 8, 11, 12, 17, 21, 22, 33, 35, 37;

Chapter 20: 1, 3, 5, 7, 11, 13, 16, , 19, 21, 25, 30;

Chapter 21: 1, 3, 7, 11, 13ab, 15a, 17, 24abcd, 25, 27;

Chapter 22: 1 – 13 odd, 16, 18 – 22, 35, 40;

Chapter 23: 3 – 5, 11, 13, 15, 17, 22, 25, 29, 31, 32, 40, 44;

Chapter 24: 1 – 9 odd, 10, 11, 13, 16, 27, 29, 31, 32;

Chapter 7: 1. 3. 5. 9 – 11, 13, 15, 20, 23, 25, 27, 36;

Chapter 8: 1, 3, 5, 7, 13, 15, 17, 19, 29, 31, 33, 46;

Chapter 9: 1, 7, 11, 13, 15, 22, 27;

Chapter 26: 3, 11, 13, 15, 17, 25;

Advice for Students: DON’T FALL BEHIND!! This class moves at a rapid pace.

• Come to class and recitation prepared.
• Read the chapter before lecture.
• Reread the chapter after lecture to see if you have follow up questions.
• Do the suggested exercises before recitation and come prepared with questions.
• Form a study group.
• Learn how to use your calculator.
• Keep a notebook of vocabulary.
• Keep a list of reference examples.
• Get help if you need it – from the professor, teaching assistant or the Statistics Help Room.

Week	Topic	Reading	Assignment
1: Aug 25 - 29	Collecting Data: Pedigree, surveys, simulations and Randomness	Chapters 1, 2, 11, 12	Pre-Test
2: Sep 3 & 5	Collecting Data: Experiments and Observational Studies	Chapter 13	Chapters 2 and 12
3: Sep 8 – 12	Data Analysis: Displaying Categorical and Quantitative Data and Numerical Summaries	Chapters 3 and 4	Chapters 11 and 13
4: Sep 15 – 19	Data Analysis: Comparing Distributions and the Normal Model	Chapters 5 and 6	Chapters 3 and 4
5: Sep 22 - 26	Probability: Random Variables and Probability Distributions	Chapters 16 and 17	Chapters 5 and 6 Test 1: Chapters 1 – 6, 11 - 13
6: Sep 29 – Oct 3	Inference: Sampling Distributions	Chapter 18	Chapters 16 and 17
7: Oct 6 - 10	Inference: Confidence Intervals for Proportions	Chapter 19	Chapter 18
8: Oct 13 - 17	Inference Hypothesis Tests for Proportions	Chapter 20 and 21	Chapter 19
9: Oct 20 - 24	Inference: Comparing two proportions	Chapter 22	Chapters 20 and 21 Test 2: Chapters 16 – 21
10: Oct 27 - 31	Inference: CI and HT for one mean	Chapter 23	Chapter 22
11: Nov 3 – 7	Inference: Comparing Means of Two Groups	Chapter 24	Chapter 23
12: Nov 10 – 14	Data Analysis: Scatterplots, Association and Correlation	Chapter 7	Chapter 24
13: Nov 17 - 21	Data Analysis: Linear Regression	Chapters 8 and 9	Chapters 7 and 8
14: Nov 24			Test 3: Chapters 7 – 9, 22 - 24
15: Dec 1 - 5	Inference: Comparing Counts	Chapter 26	No Assignment