Probably Not

Name: Probably Not
Brand: Unknown
SKU: 9781119518105
Price: 203.99 NZD
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Future Prediction Using Probability and Statistical Inference

By Lawrence N. Dworsky

Summary

Probably Not by Lawrence N. Dworsky explores the intriguing nuances of probability and its role in everyday life. It delves into the concept with engaging examples and illustrations, shedding light on how probability influences decision-making and understanding of the natural world. The book aims to demystify mathematical principles, making them accessible and applicable to a broader audience.
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Format: Paperback / softback

$203⁹⁹

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Probably Not

$203⁹⁹

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book may appeal to you if you have an interest in understanding the world through the lens of probability and statistics. It offers accessible insights into the practical applications of these concepts in everyday life, blending humour and clarity to demystify complex ideas for curious minds.

An introduction to probability and statistics at an introductory level.

Description

A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level

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.

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 Prosecutor’s Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford’s Law that explores measuring compliance and financial fraud detection using Benford’s Law. This book:

Contains relevant mathematics and examples that demonstrate how to use the concepts presented
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
Presents updated life insurance tables
Contains updates on the Gantt Chart example that further develops the discussion of random events
Offers a companion site featuring solutions to the problem sets within the book

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.

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 Introduction to Numerical Electrostatics Using MATLAB from Wiley.

Book Details

INFORMATION

ISBN: 9781119518105

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 20 September 2019

Country: United States

Imprint: John Wiley & Sons Inc

Edition: 2nd edition

Audience: Professional and scholarly

DIMENSIONS

Spine width: 18.0mm

Width: 150.0mm

Height: 224.0mm

Weight: 567g

Pages: 352

Collections

Education & Reference Lawrence N. Dworsky Non-Fiction Science & Nature

About the Author

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 Introduction to Numerical Electrostatics Using MATLAB® from Wiley.