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 and normal. The course provides the underlying theory and mathematically derived techniques of statistics. Hypothesis testing for various parameters and regression are also discussed in this course.

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00

Semesters

Spring 2025 Semester
Course Title Instructor Campus Section Syllabus
Mathematical Probability Xiaofeng Gu, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource