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STAT 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.

This course is eligible for Credit/D/Fail grading. To determine whether you can take this course for Credit/D/Fail grading, visit the Credit/D/Fail website. You must register in the course before you can select the Credit/D/Fail grading option.

Credits: 3

Pre-reqs: Either (a) one of STAT 200, BIOL 300, STAT 241, STAT 251, COMM 291, ECON 325, FRST 231, PSYC 218, PSYC 366 and one of MATH 302, STAT 302; or (b) a score of 65% or higher in one of MATH 302, STAT 302. (The Department recommends that students meet the prerequisite through option (a). Note there is credit exclusion between MATH 302, STAT 302 and STAT 241, STAT 251.)

Status Section Activity Term Interval Days Start Time End Time Comments
  STAT 305 101 Lecture 1 Mon Wed Fri 17:00 18:00
  STAT 305 L1A Laboratory 1 Mon 9:00 10:00
Full STAT 305 L1B Laboratory 1 Tue 10:00 11:00
Full STAT 305 L1C Laboratory 1 Wed 15:00 16:00
Full STAT 305 L1D Laboratory 1 Fri 11:00 12:00
  STAT 305 202 Lecture 2 Mon Wed Fri 13:00 14:00

Note: please do not register in this course unless you can also find an open seat in a lab section that does not conflict with your schedule. We are not able to overload our labs for any reason, so if you are unable to find a seat in a lab section that does not conflict with yoru schedule, please do not register for the class.

Full STAT 305 L2A Laboratory 2 Mon 15:00 16:00
  STAT 305 L2B Laboratory 2 Wed 16:00 17:00
Full STAT 305 L2C Laboratory 2 Wed 15:00 16:00
  STAT 305 L2D Laboratory 2 Thu 11:00 12:00