STAT_V 305
Introduction to Statistical Inference
Review of probability theory. Sampling distribution theory, large sample theory and methods of estimation and hypothesis testing, including maximum likelihood estimation, likelihood ratio testing and confidence interval construction. [3-0-1] Prerequisite: Either (a) one of STAT_V 200, STAT_V 203, BIOL_V 300, STAT_V 251, COMM_V 291, ECON_V 325, FRST_V 231, PSYC_V 218, PSYC_V 366, PSYO_O 271, STAT_O 121, STAT_O 124, STAT_O 205, STAT_O 230 and one of MATH_V 302, STAT_V 302, STAT_O 203; or (b) DSCI_V 200 and STAT_V 201 and one of MATH_V 302, STAT_V 302, STAT_O 203; or (c) a score of 65% or higher in one of MATH_V 302, STAT_V 302, STAT_O 203. The Department recommends that students meet the prerequisite through option (a) or (b).
Sources
- Course catalogue ↗2026-2027