MAT 220 - Advanced Statistics

Lecture Hours: 3 Credits: 3

Description: This course includes the following topics: estimation of parameters; formulation and testing of hypotheses; multiple and non-linear regression; correlation; contingency tables; analysis of variance; special distributions; introduction to non-parametric statistics.

Prerequisite(s): Take MAT 120 with a minimum grade of C.

Course Topics:

Confidence Intervals
Hypothesis Testing with One Sample
Hypothesis Testing with Two Samples
Correlation and Regression
Chi-Square Tests and the F-Distribution
Nonparametric Tests

Textbooks:
Textbook information can be found on the Book Inn 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:

Estimate the value of population parameters by constructing confidence intervals.
Test hypotheses for one sample using probability distributions
Test hypotheses that compare multiple samples using probability distributions.
Test for distribution fit or independence by evaluating a Chi Square probability distribution.
Perform hypothesis tests by using nonparametric statistics.

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
2023-2024