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Naked Statistics: Stripping the Dread from the Data

by Charles Wheelan

“Brilliant, funny . . . the best math teacher you never had.”—San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist...


Statistical Method from the Viewpoint of Quality Control

by Walter A. Shewhart

Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. First inexpensive paperback...


Principles of Statistics

by M. G. Bulmer

Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes...


Statistics Hacks: Tips & Tools for Measuring the World and Beating the Odds

by Bruce Frey

Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with...


Schaum's Outline of Probability and Statistics, 3/E

by Murray R Spiegel, John J. Schiller & R. Alu Srinivasan

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams....


How to Lie with Statistics

by Darrell Huff & Irving Geis

Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview...


Business Statistics Demystified

by Steven Kemp & Sid Kemp

Say goodbye to dry presentations, grueling formulas, and abstract theories that would put Einstein to sleep -- now there's an easier way to master the disciplines you really need to know.

McGraw-Hill's Demystified...


Minitab Demystified

by Andrew Sleeper

Need to learn Minitab? Problem Solved!

Get started using Minitab right way with help from this hands-on guide. Minitab Demystified walks you through essential Minitab features and shows you how to apply them...


Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics

by David M. Levine & David F. Stephan

Thought you couldn’t learn statistics? You can – and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics – for everyone! Now fully...


Handbook of Statistics: Computational Statistics with R

by Marepalli B. Rao & C.R. Rao

R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available...


An Introduction to Probability and Statistical Inference

by George G. Roussas

Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly...


Statistics DeMYSTiFieD, 2nd Edition

by Stan Gibilisco

MULTIPLY your chances of learning STATISTICS

Trying to understand statistics but feeling a bit uncertain? Here's your solution. Statistics Demystifed, Second Edition helps you master this fundamental topic with...


An Introduction to Bootstrap Methods with Applications to R

by Michael R. Chernick & Robert A. LaBudde

A comprehensive introduction to bootstrap methods in the R programming environment

Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard...


Hidden Markov Processes: Theory and Applications to Biology

by M. Vidyasagar

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no...


Introduction to Probability Models

by Sheldon M. Ross

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic...


Statistical Methods

by Rudolf J. Freund, Donna Mohr & William J. Wilson

Statistical Methods, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines....


Hands-On Programming with R: Write Your Own Functions and Simulations

by Garrett Grolemund

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data...


Introductory Statistics

by Sheldon M. Ross

In this 3rd edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications...


Finite Markov Processes and Their Applications

by Marius Iosifescu

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu, vice president of the Romanian Academy and director of its Center for...


Fundamentals of Applied Probability and Random Processes

by Oliver Ibe

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers...