Statistics is Easy!, Second Edition
Dennis Shasha
Department of Computer Science
Courant Institute of Mathematical Sciences
New York University
Manda Wilson
Bioinformatics Core
Computational Biology Center
Memorial Sloan-Kettering Cancer Center
SYNTHESIS LECTURES IN MATHEMATICS AND STATISTICS
Morgan & Claypool Publishers.
2011
Editor
Steven G. Krantz, Washington University, St. Louis
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ABSTRACT Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then system atically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Note: When clicking on the link to download the individual code or input file you seek, you will in fact be downloading all of the code and input files found in the bo ok. From that point on, you can choose which one you seek and proceed from there. In orde r to download the data file NMSTATEDATA4.2[1] located in Chapter 5,
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