Mathematics 245 - PRACTICE OF STATISTICS

An application-oriented introduction to modern statistical inference: study design, descriptive statistics, random variables, probability and sampling distributions, point and interval estimates, hypothesis tests, resampling procedures, and multiple regression. A wide variety of applications from the natural and social sciences will be used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. MTH 245 satisfies the basis requirement for Biological Science, Engineering, Environmental Science, Neuroscience, and Psychology. Normally, students will receive credit for only one of the following introductory statistics courses: MTH 190/PSY 190, ECO 220, GOV 190, MTH 241, MTH 245 or SOC 201. Exceptions may be allowed in special circumstances and require permission of the adviser and the instructor. Prerequisite: MTH 111, or MTH 153, or one year of high school calculus, or permission of the instructor. Lab sections limited to 20.