4.00 Credits
Covers descriptive measures, probability concepts, discrete and continuous distributions, sampling methods, parameter estimation, hypothesis testing, multiple group designs, contingency tables, regression and correlation, sample size determination, and methods for quality control. Emphasis on decision making applications. Introduces associated computer skills in labs. Prerequisite: A grade of "C-" or better in MATH 1000, MATH 1050, MATH 1400, or MATH 1450 or placement at math level 4 within one year prior to enrollment. (3 hrs lec, 2 hrs lab)