Elementary Probability and Statistics

An elementary introduction to statistical concepts, reasoning and data analysis. Topics include statistical summaries and graphical presentations of data, discrete and continuous random variables, the logic of statistical inference, design of research studies, point and interval estimation, hypothesis testing, and linear regression. Students will learn a critical approach to reading statistical analyses reported in the media, and how to correctly interpret the outputs of common statistical routines for fitting models to data and testing hypotheses. A major objective of the course is to gain familiarity with basic R commands to implement common data analysis procedures. Students intending to pursue a major or minor in mathematics or wishing to take 400 level or above statistics courses should instead take Math 3200. Prerequisite: Math 131. Examination Schedule: Tests at which attendance is required will be given from 6:30-8:30PM on Wednesday Feb 9, Wednesday Mar 9, Wednesday Apr 13.
Course Attributes: FA NSM; AR NSM; AS NSM; AS AN

Elementary Probability and Statistics

MATHEMATICS AND STATISTICS 2200

Section 01

Section 02

Section A

Section B

Section C

Section D

Section F

Section G

Section E