basic concepts and methods in probability and statistics such as sample space, discrete and continuous random variables, probability distributions; introduction to the statistical inference, classical estimation and testing procedures for one and two sample problems; chi-square test.
- 01 introduction to statistics and data analysis
- 02 probability
- 03 random variables probability distributions
- 04 mathematical expectation
- 05 discrete probability distributions
- 06 continuous probability distributions
- 08 fundamental sampling distributions data descriptions
- 09 one and two sample estimation
- 10 one and two sample test hyptheses
midterm exam information
-
The first midterm will take place on Wednesday, Mar. 1, 2023 in LEA 2112. It is an in-class exam so you will have 50 minutes to write it.
-
some review problems and the answer key are available under "Module" in Canvas.
-
the first exam will mainly cover the material of chapter 2-4. The lecture notes, review problems and homework are good material for preparing for the first exam.
-
the exam problems will consist of 5 or 6 questions.
-
you are allowed to bring one 8.5 x 11 inch page of formula sheet ( double sided) with anything you want as a resource to the exam.
-
please remember to bring your ID and calculator with you when you take the exam.