Description: Graphical and quantitative description of data; binomial, normal, and t distributions; one- and two-sample hypothesis tests and confidence intervals; simple linear regression and correlation. This course will fulfill either the Mathematics foundation requirement or a Science Applied Science liberal studies distribution block requirement. If you have already fulfilled your Mathematics foundation requirement, this course will fulfill a Science Applied Science liberal studies distribution block requirement. Credit cannot be earned in both STA 270 and STA 275. Letter grade only. Course fee required.
Sections offered: Spring 2019 Summer 2019 Fall 2019 Spring 2020
Requirement Designation: Science and Applied Science
Liberal Studies Essential Skills: Quantitative Reasoning
Prerequisite: NOT for Mathematics majors. (MAT 100 with a grade of P taken Fall 2013 or later) or (MAT 102X or MAT 108 or MAT 114 or higher w/ grade of C or better or Math Placement Test Results (ALEKS/MATHA 40+; MATHC 40+; PLACE 46+)).