**Course Title:** **Mathematical Probability**

**Hours Credit:** 3 hours

**Prerequisites:** MATH 2853 and 3063 **Instructor**:
Dr. Chatterjee

**Course Description:** A calculus based statistics
course with a strong emphasis on probability theory. Exercises are both
theoretical and applied, including both discrete and continuous probability
distributions such as the Binomial, Geometric, Hypergeometric,
Poisson,

**Text**:
Mathematical Statistics with Applications (Seventh Edition)

Author: John E. Freund

**Syllabus:**

Chapter 2

All sections

Chapter 3

All sections

Chapter 4

All sections

Chapter 5

All sections

Chapter 6

All sections

**Learning Outcomes:** Students should be able to demonstrate:

- Recognize and describe discrete and continuous random variables
- Find probabilities associated with discrete and continuous random variables
- Use the notation and the language associated with probability
- Use basic rules of probability
- Use expected value to find the mean and variance of discrete and continuous random variables
- Understand the interplay of probability and statistical inference
- Apply Central Limit Theorem.

*Final Marks: Average of the four tests.*