Lecture Notes on Data Analysis

The following is an introduction to the practical application of statistics in data analysis as typically encountered in high energy physics. The intent is to present the most important tools in a manageably short space. As a consequence, many results are given without proof and the reader is often referred to the literature for more detailed explanations. The topics include basic aspects of probability and statistical inference, Monte Carlo techniques, statistical tests, and methods of parameter estimation.