Original PDF Ebook – Probably Not2nd EditionFuture Prediction Using Probability and Statistical Inference – 9781119518105

Original PDF Ebook – Probably Not2nd EditionFuture Prediction Using Probability and Statistical Inference – 9781119518105

A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level_x000D_
Written in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book’s illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only think we know something._x000D_
The author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor’s Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford’s Law that explores measuring the compliance and financial fraud detection using Benford’s Law. This book:_x000D_
Contains relevant mathematics and examples that demonstrate how to use the concepts presented_x000D_
Features a new chapter on Benford’s Law that explains why we find Benford’s law upheld in so many, but not all, natural situations_x000D_
Presents updated Life insurance tables_x000D_
Contains updates on the Gantt Chart example that further develops the discussion of random events_x000D_
Offers a companion site featuring solutions to the problem sets within the book_x000D_
Written for mathematics and statistics students and professionals, the updated edition of Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition combines the mathematics of probability with real-world examples._x000D_
LAWRENCE N. DWORSKY, PhD, is a retired Vice President of the Technical Staff and Director of Motorola’s Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of from Wiley.