Lesson 1: Overview
This lesson is an overview of the course content as well as a review of some advanced statistical concepts involving discrete random variables and distributions, relevant for STAT 504  Analysis of Discrete Data. This Lesson assumes that you have glanced through the review materials included in the Start Here! block.
Key concepts:
Objectives:

Useful links:
 Lesson 0 reviews the basic statistical concepts.
 Statistical Applets Introduction to the Practice of Statistics  W.H. Freeman & Co.
 Java Applets for Visualization of Statistical Concepts VESTAC: Visualization of and Experimentation with STAtistical Concepts  Universitair Centrum voor Statistiek  Katholieke Universiteit Leuven
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The outline below can be viewed as a general template of how to approach data analysis regardless of the type of statistical problems you are dealing with. For example, you can model a continuous response variable such as income, or a discrete response such as a true proportion of U.S. individuals who support new health reform. This approach has five main steps. Each step typically requires an understanding of a number of elementary statistical concepts, e.g., a difference between a parameter to be estimated and the corresponding statistic (estimator).