Download Math 183 - Statistical Methods

Math 183 - Statistical Methods
Xu Wang
March 28, 2016
Xu Wang
Math 183 - Statistical Methods
March 28, 2016
1/9
1
Basic information
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Course content
Xu Wang
Math 183 - Statistical Methods
March 28, 2016
2/9
Basic information
Basic information
Xu Wang
Math 183 - Statistical Methods
March 28, 2016
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Basic information
Textbook, Course website and Contacts
Textbook: Introduction to Probability and statistics for engineers and
scientists (Fifth Edition) by Sheldon M. Ross
Prerequisite: Math 20C or 21C (Multi-variate Calculus)
Course website:
http://www.math.ucsd.edu/~xuw014/Teaching/Courses.shtml
Office hours and email:
Instructor (Dr. Wang): Wednesday 2-3pm, APM5240;
Email: [email protected]
TAs’ office hours will be announced in discussion session (and on course
website later)
TAs’ emails: A01-02: Li, hanbo ([email protected]); A03: Zhu, tingyi
([email protected]); A04: Liang, jingwen ([email protected]); A07-08:
Pan, ran ([email protected])
Xu Wang
Math 183 - Statistical Methods
March 28, 2016
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Basic information
Course mechanism
Your grade will be the better grade from the following two methods:
30% Homework, 30% Midterm, 40% Final
40% Homework, 20% Midterm, 60% Final
Weekly homework assignments (5th Edition) and due dates, exam
informations to be announced on course website
Regrade requests will not be considered once you take the homework or
exam out of the room after returned in the discussion sections.
Xu Wang
Math 183 - Statistical Methods
March 28, 2016
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Course content
Course content
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Math 183 - Statistical Methods
March 28, 2016
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Course content
Materials
most parts from Chapter 1-8 (see course webpage update as we
progress)
selected topics from Chapter 9-15 (if time permits, not to be tested on
exams)
Goal:
Introduction to probability.
Discrete and continuous random variables-binomial, Poisson and
Gaussian distributions. Central limit theorem.
Data analysis and inferential statistics: prediction, estimation,
hypothesis testing, curve fitting.
basic familiarity with R programming language
Xu Wang
Math 183 - Statistical Methods
March 28, 2016
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Course content
R programming
Open source statistical programming language and environment R will
be used from time to time during the course, including in homework
assignments where the codes will be provided (by TA’s) in discussion
session. It is available in the UCSD computing labs and “virtual lab”,
http://acms.ucsd.edu/students/govirtual/index.html (you’ll
need to register first).
bring computer to discussion session. (TA will help on installing and
introducing R basics)
Xu Wang
Math 183 - Statistical Methods
March 28, 2016
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Course content
Overview
Descriptive statistics (Graphs, tables in Chap. 2)
Inferential statistics
Assume data constitute “random sample” from “some population” (a
model)
What is a probabilistic model? (Probability, Chapter 3-5)
Calibrate a model (Estimation, Chapter 7)
How good the data fits a model (Testing, Chapter 8)
Relating properties of data to those of the population (Distribution of
sampling statistics, Chapter 6)
Many others . . .
Xu Wang
Math 183 - Statistical Methods
March 28, 2016
9/9