STAT 463 Lecture Notes - Lecture 4: Likelihood Function, Likelihood-Ratio Test, Point Estimation
Document Summary
Statistical inference refers generally to the methods by which one makes inferences or generalizations about a population and its parameters based on statistics calculated from sample data. We typically want to use the information contained in sample data to make inferences/decisions about a population and/or its paramters. So far, we"ve talked about how to nd estimators, and how to evaluate the goodness of these estimators. Sometimes we are interested in not only estimating the parameter, but also in evaluating the plausibility of some statement about the unknown parameter. In each case, there is an underlying parameter : incidence rate of the u, cut rose lifespan, amount of student understanding, amount of student learning. The goal of hypothesis testing is to determine if changes in speci ed ways when an element of the system is changed. Does the lifespan of a cut rose increase when. A hypothesis test is a rule used to choose between two complementary hypotheses.
