Introduction to probability and statistical methods with direct application to engineering problem solving. Discrete and continuous distributions, numerical measures, elementary sampling, point estimation, interval estimation, design of experiments, and hypothesis testing. Fall, spring and summer semesters. Lecture 3 hours. Prerequisite or corequisite: MATH 1920 or MATH 1960 or department head approval. Standard letter grade. Differential Course Fee will be assessed.

(Formerly Probability/Statistics)(Non-Calculus)3 Credits3 Class HoursAn introduction to basic concepts and formulas for both descriptive and inferential statistics. Topics include the nature of data, uses and abuses of statistics, methods of sampling, summarizing data, pictures of data, counting techniques, measures of central tendency, measures of variation, measures of position, understanding probability, binomial and normal distributions, central limit theorem, confidence intervals, fundamentals of hypothesis testing for both one and two samples, ANOVA, linear regression, and a brief introduction to nonparametric statistics. Prerequisite(s): Level 2 placement or higher in Math or concurrent enrollment in MATH 0835. Semester Availability: All* This course is part of the general education core