Instructor Office: 694 PGHTeaching Assistant:
Office Hours: Tue, Thu 12-1, or by appointment
Phone Number: (713) 743-3492
E-mail address: email@example.com
Tutoring Hours:2. Goals and Objectives:
The course is an introduction to statistics. Students are introduced to the notions of graphical and descriptive methods in statistics, probability models, random variables and distributions, sampling, estimation, hypothesis testing, regression, analysis of variance, exploratory and diagnostic methods, statistical computing. Students will also be introduced to R, a powerful free software environment for statistical computing and graphics. I will assume no prior knowledge of R.3. Textbook: Textbook is not required.
If you want a textbook for reference, self-study and if want to have access to additional examples and exercises, you can use "Probability and Statistics for Engineering and the Sciences", 8th or 9th Edition, by Jay Devore, Brooks/Cole.
Lecture Notes: All material needed for the course will be presented in class and made available here (the file will be updated during the semester):
The materials provided by the instructor in this course are for the use of the students enrolled in the course only. Course materials may not be further disseminated without instructor permission. This includes sharing content to commercial course material suppliers such as Course Hero or Chegg. Students are prohibited from sharing materials derived from the instructor’s content including lecture notes, problems and exams
Resources for Set theory. Here are some background notes on set theory: brief note, longer article (by Daniel Ashlock at University of Guelph).
R resources. You can run R without the need of installing the package using R Studio Cloud. Alternatively you will have to 1) download R from the Comprehensive R Archive Network CRAN and 2) install Rstudio. Rstudio includes a console, a syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace. Here are some manuals, a tutorial on drawing plots and a few simple examples of R scripts.
Here a summary table on confidence interval and hypothesis testing: tables5. Homework, tests, exams and grading:
The only way to understand and master the material presented in class is by working out the homework problems on your own. You are strongly encouraged to work out the homework problems that are assigned regularly and carefully. Copying the homework or watching someone else doing the work for you will bring you minimal benefit. There will be (almost) weekly homework assignments posted at the link below. At the end of the semester, your worst HW score will be dropped. The homework will count 30% towards the final grade.Grading:
Homework submission and evaluation policy: Every week (unless there is a test) I will administer a short quiz (5-10 min) based on the homework and I will usually not collect the homework (I will tell you in advance if I do). The quiz score will be your homework score.
Quiz policy: The quiz will be adminitered on the homework due date at the end of the lecture, typically between 2:10-2:20am. In case you will be forced to miss class on the quiz day, you can submit your homework as a replacement. Unless you could not have predicted you had to miss class, I will only accept the homework submisison as a quiz replacement based on prior arrangements such as students on travel for justified reasons, medical interventions or students with disabilities. I might request proof that your absence was justified. If you submit the homework, it must be a PDF attachment of size less than 5MB and it must be sent to my email adress on the due date no later than 2:30pm In all other cases you will receive a 0 score if you miss the quiz.
(The list below will be updated during the semester. Solutions will be posted after quiz collection)
Tests. There will be three tests in class counting 40% towards the final grade (tentatively) on Tue FEB 14, Tue MARCH 28, Thu APR 20 . The worst of your 3 tests will be half-dropped; that is, the 3 tests counts 40% towards the final grade, where the best two tests will count 16% each, the worst one will count 8%.
Homework 1 - HW1 - DUE: THU 1/26 - Solution.
QUIZ 1 and Solution.
Homework 2 - HW2 - DUE: THU 2/2 - Solution.
QUIZ 2 and Solution.
Homework 3 - HW3 - DUE: THU 2/9 - Solution.
QUIZ 3 and Solution.
Homework 4 - HW4 and tables of binomial cdf - DUE: THU 2/23 - Solution.
QUIZ 4 and Solution.
Homework 5 - HW5 and tables of Poisson cdf - DUE: TUE 2/28 - Solution.
QUIZ 5 and Solution.
Homework 6 - HW6 and tables of normal cdf - DUE: TUE 3/7 - Solution.
QUIZ 6 and Solution.
Homework 7 - HW7 - DUE: Thu 3/23 - Solution.
QUIZ 7 and Solution.
Homework 8 - HW8 - DUE: Tue 4/4 - Solution.
QUIZ 8 and Solution.
Homework 9 - HW9 and table of t-distribution normal cdf - DUE: Tue 4/11 - Solution.
QUIZ 9 and Solution.
Homework 10 - HW10 and Table of hypothesis testing - DUE: Tue 4/18 - Solution.
QUIZ 10 and Solution.
Homework 11 - HW11 DUE: Thu 4/27 - Solution.
QUIZ 11 - and Solution.
Final exam. The final exam counts 30% towards the final grade. This is scheduled on Tue MAY 9, 2pm.
Makeup test. Makeup tests will be allowed only for justified and unavoidable absences (e.g., a car accident, a medical or family emergency). In this case, if possible, previous authorization should be obtained from the Instructor. In all other cases, you will receive a zero score for a missed test. All arrangements for make-ups must be made via email.
Here are some old tests with solutions:
Test #1 - Solution -- Test #2 - Solution -- Test #3 - Solution.
Here are the tests with solutions: (I will post the information for current tests when available)
Test #1 with Solution
Test #2 with Solution
Test #3 with Solution
The grade will be determined according to a set point scale: 90%-100%: A, 80%-89%: B, 70%-79%: C, 60-69% D; F is less than 60% (+ and - will also be used).5. Topics and estimated lectures allocated to each topics:
|Chapter||Sections||Covered so far||Lectures||Topics|
||1|| Overview |
|3||1-6||5||Discrete Random Variables|
|4||1-4||5||Continuous Random Variables|
||4||Joint Probability Distributions|