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Stat 401 – Introduction to Probability
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Instructor Data
- Name: Dr. Jennifer Pajda-De La O
- Lectures: MWF 10-10:50 am, SES 138
- Office: SEO 305
- Email: jpajda2 AT uic.edu
- Office Hours: MWF 1-2; by appointment
Course data
- Textbook: Hogg, McKean, Craig, Introduction to Mathematical Statistics, Pearson, 7th edition. ISBN-13: 978-0-321-79543-4
- Prerequisite: Grade of C or better in MATH 210.
- Course syllabus: Syllabus
Exam Dates
- Midterm 1 - Friday, October 6, 2017. Study Guide
- Midterm 2 - Friday, November 10, 2017. Study Guide
- Final Exam - Friday, December 15, 2017 from 10:30 AM-12:30 PM. Study Guide
Document Camera Notes
- 8/28/2017: Section 1.1 and 1.2 (Introduction; Set Theory)
- 8/30/2017: Section 1.2 (Set Theory)
- 9/1/2017: Section 1.3 (Probability Set Function)
- 9/6/2017: Section 1.3 (Probability Set Function)
- 9/8/2017: Section 1.4 (Conditional Probability and Independence)
- 9/11/2017: Section 1.4 (Conditional Probability and Independence)
- 9/13/2017: Section 1.5 (Random Variables)
- 9/15/2017: Section 1.5 (Random Variables)
- 9/18/2017: Section 1.6 (Discrete RVs and Transformations)
- 9/20/2017: Section 1.7 (Continuous RVs and Transformations)
- 9/22/2017: Section 1.8 (Expectation of a RV)
- 9/25/2017: Section 1.9 (Some Special Expectations)
- 9/27/2017: Section 1.10 (Important Inequalities)
- 9/29/2017: Section 2.1 (Distributions of 2 RVs)
- 10/2/2017: Section 2.1 (Distributions of 2 RVs)
- 10/4/2017: Exam 1 Review
- 10/9/2017: Section 2.1 and 2.2 (Distributions of 2 RVs; Transformations - Bivariate RVs)
- 10/11/2017: Section 2.2 (Transformations - Bivariate RVs)
- 10/13/2017: Section 2.2 and 2.3 (Transformations - Bivariate RVs; Conditional Distributions and Expectations)
- 10/16/2017: Section 2.3 (Conditional Distributions and Expectations)
- 10/18/2017: Section 2.4 (The Correlation Coefficient)
- 10/20/2017: Section 2.5 (Independent Random Variables)
- 10/23/2017: Section 2.6 (Extension to Several Random Variables)
- 10/25/2017: Section 2.7 (Transformations for Several Random Variables)
- 10/27/2017: Section 2.7 (Transformations for Several Random Variables)
- 10/30/2017: Section 2.8 (Linear Combinations of Random Variables)
- 11/1/2017: Section 3.1 (Binomial Distribution)
- 11/3/2017: Section 3.1 and 3.2 (Binomial and Poisson Distributions)
- 11/6/2017: Section 3.3 (Gamma, Chi-Square, and Beta Distributions)
- 11/8/2017: Exam 2 Review
- 11/13/2017: Section 3.4 (Normal Distribution)
- 11/15/2017: Section 3.5 (Multivariate Normal Distribution)
- 11/17/2017: Section 3.5 and 3.6 (Multivariate Normal, T, and F Distributions)
- 11/20/2017: Section 3.7 (Mixture Distributions)
- 11/22/2017: Section 5.1 (Convergence in Probability)
- 11/27/2017: Section 5.2 (Convergence in Distribution)
- 11/29/2017: Section 5.2 (Convergence in Distribution)
- 12/1/2017: Section 5.3 (Central Limit Theorem)
- 12/4/2017: Section 5.3 (Central Limit Theorem)
- 12/6/2017: Section 5.3 (Central Limit Theorem) and Final Exam Review
- 12/8/2017: Final Exam Review