STAT231 Study Guide - Midterm Guide: Random Variable, Sampling Distribution, Likelihood Function
Document Summary
Stat 231 tutorial test 1: week of february 24-28 in your scheduled tutorial time. You may only write in your assigned tutorial time. Tutorial test 2 will focus on the material in sections 4. 1-4. 3, however you must still know the material from chapters 1-3. In particular you should know and understand the following: How to use maximum likelihood estimates of model parameters to estimate attributes for a population (see course notes pp 85-86 and problem 1, chapter 4) Point estimate of a parameter (p. 87) Point estimator of a parameter (p. 87) Sampling distribution of an estimator and the ways to obtain the sampling distribution. (p. 88) Maximum likelihood estimates, relative likelihood functions (definition 9. p. 93), 100p% likelihood intervals (definition 10, p. 93),. and log relative likelihood functions (p. 95). How to obtain likelihood intervals from a graph of the relative likelihood function or the log relative likelihood function.
