As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. Applied probability and stochastic networks, Statistics for physical sciences and engineering, Computational statistics, machine learning and information science, Statistics and probability: general interest, Statistics for econometrics, finance and insurance, Statistics for social sciences, behavioural sciences and law, Probability theory and stochastic processes, Statistics for life sciences, medicine and health. Innumeracy: Mathematical Illiteracy and Its Consequences, Factfulness: Ten Reasons We're Wrong About the World--and Why Things Are Better Than You Think, Introducing Statistics: A Graphic Guide (Introducing...), Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets (Incerto Book 1), Freakonomics Rev Ed: A Rogue Economist Explores the Hidden Side of Everything, Chancing It: The Laws of Chance and How They Can Work for You, Naked Statistics: Stripping the Dread from the Data, The Art of Statistics: How to Learn from Data, The Book of Why: The New Science of Cause and Effect, Statistics For Dummies (For Dummies (Lifestyle)), The Signal and the Noise: Why So Many Predictions Fail-but Some Don't, A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra), Statistical Analysis with Excel For Dummies, Against the Gods: The Remarkable Story of Risk, A Man for All Markets: From Las Vegas to Wall Street, How I Beat the Dealer and the Market, All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics), Learn Statistics Today: 50 Solved Equations To Easily Explain Statistics! This book presents some of the most important modeling and prediction techniques, along with relevant applications. If you requested a response, we will make sure to get back to you shortly. “Moneyball is a quest for something as elusive as the Holy Grail, something that money apparently can’t buy: the secret of success in baseball. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. Lewis mines all these possibilities—his intimate and original portraits of big league ballplayers are alone worth the price of admission—but the real jackpot is a cache of numbers—numbers!—collected over the years by a strange brotherhood of amateur baseball enthusiasts: software engineers, statisticians, Wall Street analysts, lawyers and physics professors. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts. To register on our site and for the best user experience, please enable Javascript in your browser using these, Not yet published - available from December 2020. The logical places to look would be the front offices of major league teams, and the dugouts, perhaps even in the minds of the players themselves. No previous knowledge of probability and statistics is required. offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. The top 21 books, all appearing on 2 or more “Best Statistics” book lists, are ranked below with images, descriptions, and links. This accessible approach will help business professionals tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size. Create an account now. Douglas Downing Ph.D. and Jeffrey Clark Ph.D. Causality: Models, Reasoning, and Inference, Cause and Correlation in Biology: A User’s Guide to Path Analysis, Structural Equations and Causal Inference, CliffsNotes Statistics Quick Review, 2nd Edition, Scott Adams, Peter Z Orton, David H Voelker, David H. Voelker, Peter Z. Orton, Scott Adams, Contributions to a General Asymptotik Statistical Theory, Control Theoretic Splines: Optimal Control, Statistics, and Path Planning, Data Analysis: A Model Comparison Approach, Data Mining: Practical Machine Learning Tools and Techniques, Digital Dice: Computational Solutions to Practical Probability Problems, Essentials of Statistics for Business and Economics, David R. Anderson, Dennis J. Sweeney and Thomas A. Williams, Fifty Challenging Problems in Probability with Solutions, Forgotten Statistics: A Refresher Course with Applications to Economics and Business, Freakonomics: A Rogue Economist Explores the Hidden Side of Everything, ggplot2: Elegant Graphics for Data Analysis, How to talk so kids will listen and listen so kids will talk, Information Theory, Inference and Learning Algorithms, Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, Introductory Statistics for Business and Economics – 4th Edition –, Thomas H. Wonnacott and Ronald J. Wonnacott, Judgment under uncertainty: heuristics and biases, Daniel Kahneman, Paul Slovic, and Amos Tversky, Kaplan AP Statistics 2014 (Kaplan Test Prep), Bruce Simmons, Mary Jean Bland, Barbara Wojciechowski, Machine Learning: A Probabilistic Perspective, Mathematical Statistics and Data Analysis, Model Based Inference in the Life Sciences: A Primer on Evidence, Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach, Mostly Harmless Econometrics: An Empiricist’s Companion, Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You Do, Practical Statistics Simply Explained (Dover Books on Mathematics), Probability and Statistical Models: Foundations for Problems in Reliability and Financial Mathematics, Probability Concepts in Engineering Planning and Design, Probability Statistics and Decision for Civil Engineers, Probability Theory: A Concise Course (Dover Books on Mathematics), Randomness: The Hidden Role of Chance in Life and in the Markets, Schaums Outline of Statistics, Fourth Edition (Schaum’s Outline Series), Statistical Analysis with Excel For Dummies (For Dummies (Computers)), Statistical Decision Theory and Bayesian Analysis, Statistics Explained: A Guide for Social Science Students, 2nd Edition, Statistics for Business and Economics (12th Edition), Statistics for Experimenters: Design, Innovation, and Discovery, Statistics for People Who (Think They) Hate Statistics, 4th, Statistics for the Utterly Confused, 2nd edition, Statistics Hacks: Tips & Tools for Measuring the World and Beating the Odds, Stochastic Differential Games. The International Series on Actuarial Science, published by Cambridge University Press in conjunction with the Institute and Faculty of Actuaries, contains…, This series of high quality upper-division textbooks and expository monographs covers all areas of stochastic applicable mathematics.