Instructor Office: 694 PGHTeaching Assistant: Ji Shi
Office Hours: Tue, Thu 2-3, or by appointment
Phone Number: (713) 743-3492
E-mail address: dlabate@math.uh.edu
Homepage: http://www.math.uh.edu/~dlabate
Tutoring Hours: MW 11-122. Goals and Objectives:
E-mail address: shijibest@gmail.com
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):Lecture Notes
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 1-2 homework assignments per week that will be posted at the link below. At the end of the semester, your worst HW score will be dropped. The homework will count 34% towards the final grade.Grading:Homework submission and evaluation policy: I will not collect the homework but every week I will administer 1-2 short quizzes (5-10 min) in class based on the homework. The quiz day correponds to the due date of the homework and the quiz score will be your homework score.
Quiz policy: The quiz will be adminitered at the end of the lecture, typically between 1:40-1:50pm. In case you will be forced to miss class on the quiz day for a justified reasons such as a medical or family emergency, I will accept the homework submisison as a quiz replacement. If this situation occurs (that your are forced to be absent during the quiz day and time) you must inform me in advance, if possible, and I might require documentation justifying your absence; note that the homework submitted as a quiz replacement must be emailed to me as a pdf file on the due date by 2pm. In all other cases you will receive a 0 score if you miss the quiz.HOMEWORK PROBLEMS:
(The list below will be updated during the semester. Solutions will be posted after quiz collection) Tests. There will be two tests in class counting 34% towards the final grade (tentatively) on FRI July 22, WED AUG 3 .
Homework 1 - HW1 - DUE: WED 7/13 - Solution.
QUIZ 1 and Solution.
Homework 2 - HW2 - DUE: FRI 7/15 - Solution.
QUIZ 2 and Solution.
Homework 3 - HW3 - DUE: TUE 7/19 - Solution.
QUIZ 3 and Solution.
Homework 4 - HW4 - DUE: THU 7/21 - Solution.
QUIZ 4 and Solution.
Homework 5 - HW5 - DUE: TUE 7/26 - Solution.
QUIZ 5 and Solution.
Homework 6 - HW6 - DUE: THU 7/28 - Solution.
QUIZ 6 and Solution.
Homework 7 - HW7 - DUE: TUE 8/2 - Solution.
QUIZ 7 and Solution.
Homework 8 - HW8 and Table of hypothesis testing - DUE: Fri 8/5 - Solution.
QUIZ 8 and Solution.
Examples of problems about linear regression (only consider Prob 1,2,3) Problems - Solution.
Final exam. The final exam counts 32% towards the final grade. This is scheduled on WED AUG 10 at 11 am.
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 is a past final exam:
past final exam and solution of past final examHere are the tests with solutions: (I will post the information for current tests when available)
Test #1 with Solution
Test #2 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 | 1-4 |
1 | Overview | |
| 2 | 1-5 |
6-7 | Probability | |
| 3 | 1-6 | 5 | Discrete Random Variables | |
| 4 | 1-4 | 5 | Continuous Random Variables | |
| 5 | 1-5 |
4 | Joint Probability Distributions | |
| 6 | 1 |
1 | Point Estimation | |
| 7 | 1-4 |
6 |
Confidence Intervals | |
| 8 | 1-4 |
4 |
Hypothesis Testing |