K310 | 3633 | D. Robinson

Prerequisite: Math M119 or equivalent Introduction to statistics; nature of statistical data; ordering and manipulation of data; measures of central tendency and dispersion; elementary probability; concepts of statistical inference and decision; estimation and hypothesis testing. Special topics include regression and correlation, analysis of variance, nonparametric methods. Credit given for only one of the following: K300, K310; Criminal Justice P291; Economics E270; Sociology S250; or SPEA K300. Format: Lecture, discussion encouraged. Homework: There will be weekly assignments using the computer package, Minitab. Tests: Four examinations. No make-up exams. Grading: Grades are available via the web at any time after the first examination and will be updated as soon as possible after each examination is graded. The final grade is based on total points over the four exams, classroom performance, and homework. The grades are not "curved". Availability of Instructor: There will be regular office hours, other times by appointment. A graduate assistant will also be available for office hours and by appointment. "Drop-ins" and communication by e-mail are encouraged.