MATH 254 Statistical Methods

This course introduces statistical methods encompassing descriptive statistics and inferential statistics. Students will be able to apply principles of hypothesis testing for one and two samples, find confidence intervals, correlation and regression, chi-square, and probability. Students will also learn to work with large data sets using computer software. Students are encouraged to complete the CSI Math Self Placement prior to registering for this course.

Credits

3 Credits

Semester Contact Hours Lecture

45

Semester Contact Hours Lab

0

General Education Competency

Mathematical Way of Knowing

MATH 254Statistical Methods

Please note: This is not a course syllabus. A course syllabus is unique to a particular section of a course by instructor. This curriculum guide provides general information about a course.

I. General Information

Department

Mathmatics Academic

II. Course Specification

Course Type

{6258C032-2AF0-4E93-BEDE-CECB13D39729}

General Education Competency

Mathematical Way of Knowing

Credit Hours Narrative

3 Credits

Semester Contact Hours Lecture

45

Semester Contact Hours Lab

0

Repeatable

No

III. Catalog Course Description

This course introduces statistical methods encompassing descriptive statistics and inferential statistics. Students will be able to apply principles of hypothesis testing for one and two samples, find confidence intervals, correlation and regression, chi-square, and probability. Students will also learn to work with large data sets using computer software. Students are encouraged to complete the CSI Math Self Placement prior to registering for this course.

IV. Student Learning Outcomes

Upon completion of this course, a student will be able to:

• Conduct analyses and make graphs with industry statistical software.
• Understand and interpret results of statistical analyses.
• Understand and appropriately use statistical methods to address research questions.
• Explain the role of probability in inferential statistics.

V. Topical Outline (Course Content)

VI. Delivery Methodologies

Required Exams

Final Exam: Departmental Comprehensive Final Exam that counts worth 20% or more of a student’s grade.