MATH 262 - R/Applied Statistics

Credit(s): 3
Lecture: 3
Non-Lecture: 0
General Education Area(s): Mathematics

An introduction to statistics with emphasis on applications. Topics include the description of data with numerical summaries and graphs, the production of data through sampling and experimental design, techniques of making inferences from data such as confidence intervals and hypothesis tests for both categorical and quantitative data. The course includes an introduction to computer analysis of data with a statistical computing package. (Those who have completed MATH 341 or 361 may not enroll in this course for credit, and no student may receive credit for more than one 200-level statistics course, including credit for more than one of the following courses: BIOL 250, ECON 205, GEOG 278, MATH 242, MATH 262, PLSC 251, PSYC 250, SOCL 211.) Offered every semester.