Equivalency Evaluation

(3 credits)(Prereq: a grade of 'C' or better in any MATH class other than MATH*130A)(Coreq: STAT*201L) An introductory course in the fundamentals of modern statistical methods. Topics include descriptive statistics, introduction to probability, random variables and sampling distribution, linear regression and correlation, testing of hypothesis concerning one and two population samples, confidence interval estimation of parameters and introduction to one way ANOVA (analysis of variance). Primary for students in the field of science who need basic knowledge of statistics. F,S,Su

(Prereq: Grade of C or better in MATH A108, or consent of department). An introductory course in the fundamentals of modern statistical methods. Topics include descriptive statistics, probability, sampling, tests of hypotheses, estimation, simple linear regression, and correlation. To give students throughout the university a non-calculus based introduction to the application of modern statistical methods including descriptive and inferential statistics. Appropriate technology will be used to support the course. Primarily for students in fields other than Mathematics who need a working knowledge of statistics. (Four hours per week typically divided into two hours of lecture and two hours of collaborative learning, discussion, and exploratory activities.)