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STAT_V 305

Introduction to Statistical Inference

3 credits

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).

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