MATH-1401 Elementary Statistics
School of Computing, Analytics, and Modeling
Dr. Perry College of Mathematics, Computing, and Sciences
Description
This is a non-calculus based introduction to statistics. Course content includes descriptive statistics, probability theory, confidence intervals, hypothesis testing, and other selected statistical topics.Prerequisites: Math 1101 Mathematical Modeling, 1111 College Algebra, or 1113 Precalculus or approved equivalent.
Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00
Semesters
| Course Title | Instructor | Campus | Section | Syllabus |
|---|---|---|---|---|
| Elementary Statistics | Vijay Kunwar | eCore | 1AG | eCore Courses External Resource |
| Elementary Statistics | Richard Kilburn | eCore | 1BG | eCore Courses External Resource |
| Elementary Statistics | Bhavana Burell | eCore | 1CG | eCore Courses External Resource |
| Elementary Statistics | Marwan Zabdawi | eCore | 1DG | eCore Courses External Resource |
| Elementary Statistics | John Trimboli | eCore | 1EG | eCore Courses External Resource |
| Elementary Statistics | Kishore Pradhan | eCore | 1FG | eCore Courses External Resource |
| Elementary Statistics | Carrie Carmack, Ph.D. | Distance | E01 | external Syllabus via Concourse External Resource |
| Elementary Statistics | Fengrong Wei, Ph.D. | Distance | E02 | external Syllabus via Concourse External Resource |