MAT 120 - Probability & Statistics

Lecture Hours: 3 Credits: 3

Description: This course is an introduction to probability and statistics. Topics include, organization of data, calculating probabilities, counting principles, binomial and normal distributions, central limit theorem, confidence intervals, hypothesis tests linear regression; and correlation.

Prerequisite(s): Take MAT 102 or MAT 103 or MAT 153 with a minimum grade of C.

Course Topics:

Descriptive Statistics
Probability
Discrete Probability Distributions
Normal Probability Distributions
Confidence Intervals
Hypothesis Testing with One Sample
Correlation and Regression

Textbooks:
Textbook information can be found on the Chaser’s Bark Shop website

Required Materials:

Texas Instruments TI-83 or TI-84 graphing calculator
Any other device must be approved by the instructor of the course

Grading System:
An overall grade of C or higher is required for transferability.

A = 90 - 100
B = 80 - 89
C = 70 - 79
D = 60 - 69
F = 0 - 59

Student Learning Outcomes:

Classify and organize data.
Calculate descriptive statistics.
Calculate basic, binomial and normal probabilities.
Calculate permutations and combinations.
Construct and interpret confidence intervals for population means and proportions.
Conduct and interpret hypothesis tests for population means and proportions.
Model and analyze real-world applications with a regression function to create a linear model, calculate the coefficient correlation, and make a prediction.

For SCC Online Courses:
If the course you are taking is online, please review the SCC Online Course Policies that include:

Identity Verification
Required materials for all online courses
Mandatory Attendance Requirement
Orientation and Support
Proctored Exams

Standard SCC Course Policies:
Please review the Standard Course Policies on the following topics:

Academic Integrity
Add/Drop period
Attendance
Classroom Conduct
Equal Access
IT Access
Online Behavior
Online Confidentiality
Services For Students with Disabilities
Student Concerns
Student Help Services
Withdrawals

Official Course Syllabus
2026-2027