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.
- 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
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).
The General Data Analysis Approach