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Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks
Contributor(s): Kurt, Will

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ISBN: 1593279566     ISBN-13: 9781593279561
Publisher: No Starch Pr
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Binding Type: Paperback
Published: July 2019
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Annotation: Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.

Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.

This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.

By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:

- How to measure your own level of uncertainty in a conclusion or belief
- Calculate Bayes theorem and understand what it's useful for
- Find the posterior, likelihood, and prior to check the accuracy of your conclusions
- Calculate distributions to see the range of your data
- Compare hypotheses and draw reliable conclusions from them

Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.
Additional Information
Library of Congress Subjects:
Bayesian statistical decision theory.
Probabilities.
BISAC Categories:
- Mathematics | Probability & Statistics | Bayesian Analysis
Dewey: 519.5/42
LCCN: 2019020743
Academic/Grade Level: General Adult
Book type: Non-Fiction
Physical Information: 9.25" H x 7.00" W x 0.75" (1.10 lbs) 234 pages
 
Descriptions, Reviews, Etc.

Contributor Bio(s): Will Kurt currently works as a Senior Data Scientist at Bombora, and has been using Bayesian statistics to solve real business problems for over half a decade. He frequently blogs about probability on his website, CountBayesie.com. Will is the author of Get Programming with Haskell (Manning Publications) and lives in Reno, Nevada.
 
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