Search Results

Probably Not

Download or Read eBook Probably Not PDF written by Lawrence N. Dworsky and published by John Wiley & Sons. This book was released on 2008-05-23 with total page 328 pages. Available in PDF, EPUB and Kindle.
Probably Not
Author :
Publisher : John Wiley & Sons
Total Pages : 328
Release :
ISBN-10 : 9780470282045
ISBN-13 : 0470282045
Rating : 4/5 (45 Downloads)

Book Synopsis Probably Not by : Lawrence N. Dworsky

Book excerpt: An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances. Much of the book is organized around easy-to-follow examples that address common, everyday issues such as: How travel time is affected by congestion, driving speed, and traffic lights Why different gambling casino strategies ultimately offer players no advantage How to estimate how many different birds of one species are seen on a walk through the woods Seemingly random events—coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law—are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics. Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.


Probably Not Related Books

Probably Not
Language: en
Pages: 328
Authors: Lawrence N. Dworsky
Categories: Mathematics
Type: BOOK - Published: 2008-05-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and sta
Probability for Machine Learning
Language: en
Pages: 319
Authors: Jason Brownlee
Categories: Computers
Type: BOOK - Published: 2019-09-24 - Publisher: Machine Learning Mastery

DOWNLOAD EBOOK

Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equation
Neural Networks for Conditional Probability Estimation
Language: en
Pages: 280
Authors: Dirk Husmeier
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Conventional applications of neural networks usually predict a single value as a function of given inputs. In forecasting, for example, a standard objective is
Assessment, Measurement, and Prediction for Personnel Decisions
Language: en
Pages: 649
Authors: Robert M. Guion
Categories: Business & Economics
Type: BOOK - Published: 2011-02-25 - Publisher: Taylor & Francis

DOWNLOAD EBOOK

Robert Guion’s best seller is now available in this new second edition. This noted book offers a comprehensive and practical view of assessment –based perso
Predictive Analytics
Language: en
Pages: 585
Authors: Conrad Carlberg
Categories: Business & Economics
Type: BOOK - Published: 2017-07-13 - Publisher: Que Publishing

DOWNLOAD EBOOK

EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you
Scroll to top