Save To Worklist
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.
Pre-reqs: Either (a) one of STAT 200, STAT 203, 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).)
- Choose one section from all 2 activity types. (e.g. Lecture and Laboratory)
|Status||Section||Activity||Term||Interval||Days||Start Time||End Time||Comments|
|Full||STAT 305 001||Lecture||2||Tue Thu||9:00||12:00|
|STAT 305 L2A||Laboratory||2||Wed||8:00||10:00|
|Full||STAT 305 L2B||Laboratory||2||Wed||10:00||12:00|
|Full||STAT 305 WL1||Waiting List||2|
Please register on this wait list if the lecture is full. As seats become available, we will move students over to the lecture. We will not be emailing students as they are moved, so please monitor your registration carefully. Please note that, while we will do our best to accommodate everyone, registration in the wait list does no guarantee a seat in the course.