Statistics 211 Sessions 509 and 510
Principles of Statistics I
Instructor: Professor Jianhua Huang
Session 509
Class meeting:
Tuesday Thursday 12:45PM - 2:00PM, 163 Blocker Building
Session 510
Class meeting:
Tuesday Thursday 3:55pm - 5:10pm, 102 Jack E. Brown Chemical Engineering Building
Office hour:
Tuesday Thursday 2:05 - 3:35PM, 405C Blocker
Help Session:
Thursday 5:00-8:00pm, Friday 3-5:30pm, Sunday 5:00-8:00pm, 457 Blocker Building
Course Management:
DOSTAT: Log in to get
access to lecture notes, homework assignments, grades, etc.
Registration code will be provided in class
How do I do well in this course?
- Come to class meetings
- Spend enough time on the homework and get help if needed
- Make use of the professor's office hours
- Make use of the help sessions where the statistics major PhD students help with homework assignments and other course materials
- Use the discussion board on DOSTAT
- Ask questions in class
- Make sure you have had a calculus course before taking this course (so you know integration and differentiation of functions etc)
Useful links
Suggested readings
- 9-03-09 Counting Principles in Probability Theory from
Probability and statistics
EBook
Permutation and combination numbers. Has answer to the end-of-class question from the 9-01-09 class.
- 9-03-09 Chapters I and II of the UCLA E-book cover about the same
materials as we did in the first week.
-
9-03-09 Simpson's
paradox from Wikipedia
Has an explanation and many interesting examples.
- 9-08-09 UCLA E-book. Chapter III: Probability.
There are several good examples under "rules of computing probabilites".
- 9-09-09 StatCrunch
help files
- 9-16-09 UCLA E-book. Chapter IV: Probability Distributions.
- 9-29-09 UCLA E-book. Chapter V: Normal Probability
Distribution. Chapter VI: Relations Between Distributions.
- 9-29-09 Some useful
distributions: Beta
distribution, Weibull
distribution, Log-normal
distribution.
- 9-29-09. Poisson
process
- 10-13-09. UCLA E-book. Chapter V. Normal Probability
Distribution. Chapter VI, Section 7.1, The Central Limit Theorem; Section
7.3. Normal Distribution as Approximation to Binomial Distribution
- 10-15-09. UCLA E-book. Chapter VII, Point and Interval Estimates.
- UCLA E-book. Chapter VIII, Hypothesis Testing covers the same topics as our Chapter 8.
- UCLA E-book. Chapter IX, Inferences from two samples covers the same
topics as our Chapter 9.
- UCLA E-book. Chapter XI: Analysis of Variance, Section 12.1 covers the
same topic as our Chapter 10.
- UCLA E-book. Chapter X: Correlation and Regression, Sections 11.1-11.3
covers the same topic as our Chapter 12.
Examples
9-15-09. Police report that 78% of drivers stopped on suspicion of drunk
driving are given a breath test, 36% a blood test, and 22% both tests.
1. What is the probability that a randomly selected DWI (Driving While
Intoxicated) suspect is given a test?
2. A suspect has been given a breath test. What is the chance that this person
was given both tests?