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“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...

This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.

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...

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...

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...

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...

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...*

**Summary of The Black Swan by Nassim Nicholas Taleb | Includes Analysis**

**Preview:**

The Black Swan by Nassim Nicholas Taleb is a philosophical treatment of Taleb's

research on highly improbable, high-impact events....

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

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...

A Statistics Equations & Answers Study Guide helps by allowing you to see various different answers and solutions to common and everyday questions that may arrive in a math focused setting. There are a couple...

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...

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...

**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...

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*, 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....

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...

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...

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...

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...