MAT 121 - Introduction to Probability and Statistics

Course Description

This course provides a solid introduction to probability theory and its applications as well as the visual and mathematical analysis of data and data distributions. This course is similar to Modern College Mathematics (MAT 120) in design and can be used as mathematics elective for students who are not science, engineering, or mathematics majors. It may be taken before Modern College Mathematics. It also serves as a prerequisite for MAT 210.

College Academic Learning Goal Designation: Quantitative Reasoning (QR)

Upon successful completion of this course, students should be able to:

Apply techniques and formulas to solve problems involving the fundamental counting principle, permutations and combinations
Use the definitions, axioms, and theorems of probability to solve problems.
Use statistical measures, graphs, and normality to organize, describe, visually represent, and analyze data.
Solve problems involving the simple linear regression line model and the correlation coefficient.
Use a software package to solve problems in the competencies covered.

Credit Hours: 3
Lecture Hours: 3

Course Prerequisites: MAT 050 or MAT 060, placement test scores for MAT 12