Syllabus: STT 200 Statistical Methods Section 103, Summer 2016 Course information

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Syllabus: STT 200 Statistical Methods
Section 103, Summer 2016
1.
Course information
Time and place:
Instructor:
Office:
Email:
Office hours:
Prerequisites:
Textbook(Required):
Mon/Wed/Fri 12:40 PM - 2:30 PM, A132 Wells Hall
Kaixu Yang
C401 Wells Hall
[email protected]
Monday 2:40 PM - 4:40 PM and by appointment
MTH 103 or appropriate score on math placement test
Intro Stats 3rd edition by De Veaus, Velleman and Bock. Pearson education, Inc, Addison-Wesley 2009
Calculator(Required): TI-83/84. These calculators have statistical functions that save you a
lot of work in the quizzes and exams. Explanations on using the statistical functions for the TI-83/84 will be provided in class. Of course, if
something can be done by calculator, we will not do it manually!
Course description:
Data analysis, probability models, random variables, estimation, tests of
hypotheses, confidence intervals, and simple linear regression.
Course website:
http://loncapa.msu.edu
2.
Lecture contents
The lectures are used to present basic ideas. STT 200 is an introductory statistics course with
practical and commonly encountered statistical concepts and methods. The textbook will be followed, but some difficult parts and some difficult chapters will be skipped.
Understanding data
Types of data (Chapter 2)
Categorical data (Chapter 3)
Quantitative data (Chapter 4)
Understanding and comparing distributions (Chapter 5)
Normal model (Chapter 6)
Regression
Scatterplots, association and correlation (Chapter 7)
Linear Regression (Chapter 8)
Diagnosis (Chapter 9)
Probability
Understanding probability (Chapter 14)
Probability rules (Chapter 15)
Random variables (Chapter 16)
Binomial model (Chapter 17)
Sampling distribution models (Chapter 18)
Statistical inference
Confidence intervals for proportions (Chapter 19)
Testing hypotheses about proportions (Chapter 20-22)
Confidence intervals for means (Chapter 23-24)
Testing hypotheses about means (Chapter 23-24)
3.
Exams
There are four parts in this course (bold in lecture contents), each will be followed by an exam
based only on that part. Exams will be given during the regular lecture time. The tentative exam
time are given below. You will be notified one week before if there are changes. The four exams
will make up most of your final grades. You are required to take all exams. If you have to miss
an exam (MSU sponsored trip, illness or other reasons), you need to bring an official proof when
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taking the make-up exam.
Tentative exam dates
Exam 1 (chapter 1-6)
Exam 2 (chapter 7-9)
Exam 3 (chapter 14-18)
Exam 4 (chapter 19-24)
4.
Monday
05/23
Friday
06/03
Friday
06/17
Wednesday 06/29
Attendance
You are expected to attend all lectures and exams. I will have a quiz every lecture to check the
attendance. You will not lose points from attendance or quizzes, but you will get bonus points
when you miss no more than one lecture and extra bonus points depending on the number of
quizzes you do correctly.
5.
Grading
The full point is 200 from the four exams. You can also get bonus, but the maximum is 200.
Source
Exam 1
Exam 2
Exam 3
Exam 4
Attendance(bonus)
Quizzes(bonus)
Total
Maximum Score
40
40
60
60
15
up to 15
200
Your grade will be determined by the following grading scale.
Points
181-200
171-180
161-170
146-160
6.
Grade
4.0
3.5
3.0
2.5
Points
131-145
121-130
101-120
0-100
Grade
2.0
1.5
1.0
0.0
Useful information
Help room is located at A102 Wells Hall, where there are tutors offering walk-in help. See helproom
schedule posted on http://www.stt.msu.edu/Academics/helproom.aspx.
Course materials will be uploaded to Loncapa(http://loncapa.msu.edu).
7.
Policies
Electronic devices:As a courtesy to your classmates and to limit disruptions during lectures or
labs, ringtones of phones must be turned off during the class session. Students must not engage in
talking on cell phones or text messaging in the classroom. Laptops should be turned off and stored
unless authorized by the instructor. Use of computers or mobile devices for activities such as game
playing, instant messaging, internet surfing, during class or recitations are prohibited.
Academic Honesty:The Department of Statistics and Probability adheres to the policies of academic honesty as specified in the General Student Regulations 1.0, Protection of Scholarships and
Grades, and in the All-University of Integrity of Scholarship and Grades which are included in
Spartan Life: Student handbook and Resource Guide. Student who plagiarize will receive a grade
0.0 in the course or the assignment.
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Plagiarismat MSU is taken seriously: no student shall claim or submit the academic work of another as ones own.
Honor Code: Answers to quizzes, exams, and assignments are my own. I will not make solutions
to quizzes, exams, and homework available to anyone else whether written by me or others.
ADA:To arrange for accommodation a student should contact the Resource Center for People with
Disabilities (353-9642). http://www.rcpd.msu.edu
Intellectual Property Rights:Students may not post course materials online or distribute them to
anyone not enrolled in the class without the advance written permission of the course instructor.
8.
Important dates
05/16/2016
05/30/2016
06/08/2016
06/30/2016
9.
Classes begin
Holiday-University Closed
Middle of semester
Classes end
Disclaimer
The instructor reserves the right to make any changes he considers academically advisable. Changes
will be announced in class. It is your responsibility to keep up with any changed policies and
assignments.
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