ISBN: 9780470282045
ID: 9780470282045
Future Prediction Using Probability and Statistical Inference An engaging, entertaining, and informative introduction to probability and prediction in our everyday livesAlthough 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 lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events& #8212 coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando&apos s Paradox, and Benford&apos s Law& #8212 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: An engaging, entertaining, and informative introduction to probability and prediction in our everyday livesAlthough 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 lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events& #8212 coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando&apos s Paradox, and Benford&apos s Law& #8212 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. Statistik, John Wiley & Sons
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Dworsky, Lawrence N.:
Probably Not - Future Prediction Using Probability and Statistical Inference - new book2008, ISBN: 0470282045
ID: 9780470282045
In englischer Sprache. Verlag: John Wiley & Sons, Introduction. 1. An Introduction to Probability. Predicting The Future. Rule Making. Random Events and Probability. The Lottery {Very Improbable Events and Large Data Sets}. Coin Flipping {Fair Games, Looking Backwards For Insight}. The Coin Flip Strategy That Can't Lose. The Prize Behind The Door {Looking Backwards For Insight,Again}. The Checker Board {Dealing With Only Part Of The Data Set}. 2. Probability Distribution Functions And Some Basics. The Probability Distribution Function. Averages And Weighted Averages. Expected Values. The Basic Coin Flip Game. The Standard Deviation. The Cumulative Distribution Function. The Confidence Interval. Final Points. 3. Building a Bell. 4. Random Walks. The One Dimensional Random Walk. What Probability Really Means. Diffusion. 5. Life Insurance and Social Security. Insurance as Gambling. Life Tables. Birth Rates and Population Stability. Life Tables, Again. Premiums. Social Security - Sooner Or Later?. 6. Binomial Probabilities. The Binomial Probability Formula. Permutations And Combinations. Large Number Approximations. The Poisson Distribution. Disease Clusters. Clusters. 7. Pseudorandom Numbers and Monte Carlo Simulations. Pseudorandom Numbers. The Middle Square PSNG. The Linear Congruential PSNG. A Normal Distribution Generator. An Arbitrary Distribution Generator. Monte Carlo Simulations. A League Of Our Own. 8. Some Gambling Games In Detail. The Basic Coin Flip Game. The Gantt Chart. The Ultimate "Winning Strategy". The Game Show. Parimutuel Betting. 9. Traffic Lights And Traffic. Outsmarting A Traffic Light?. Many Lights And Many Cars. Simulating Traffic Flow - The Simulation. Simulation Results. 10. Combined And Conditional Probabilities. Functional Notation. Conditional Probability. Medical Test Results. The Shared Birthday Problem. 11. Scheduling And Waiting. Scheduling Appointments In The Doctor's Office. Lunch With A Friend. Waiting For A Bus. 12. Stock Market Portfolios. 13. Benford, Parrondo and Simpson. Benford's Law. Parrondo's Paradox. Simpson's Paradox. 14. Networks, Infectious Disease Propagation and ChainLetters. Degrees Of Separation. Propagation Along Networks. Some Other Uses Of Networks. Neighborhood Chains. 15. Bird Counting. A Walk In The Woods. A Model Of Bird Flying Habits. Spotting A Bird. Putting It All Together. 16. Statistical Mechanics And Heat. Statistical Mechanics. Thermodynamics. 17. Introduction To Statistical Analysis. Sampling. Sample Distributions and Standard Deviations. Estimating Population Average From A Sample. The Student-T Distribution. Polling Statistics. Did A Sample Come From A Given Population?. 18. Chaos and Quanta. Chaos. Probability In Quantum Mechanics. PC-PDF, 352 Seiten, 352 Seiten, 1., Auflage, [GR: 9627 - Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik], [SW: - Wahrscheinlichkeitsrechnung und Statistik], [Ausgabe: 1][PU:John Wiley & Sons], [PU: Wiley]
Libreka.de |
2008
ISBN: 9780470282045
ID: 5577115
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. 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 practitioner. eBooks, Science & Geography~~Mathematics~~Probability & Statistics, Probably Not~~EBook~~9780470282045~~Lawrence N. Dworsky, , Probably Not, Lawrence N. Dworsky, 9780470282045, Wiley, 05/23/2008, , , , Wiley
Hive.co.uk
MPN: , SKU 5577115 Shipping costs:zzgl. Versandkosten, plus shipping costs
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4, ISBN: 9780470282045
ID: 101159780470282045
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. Moreo 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. Statistics, Mathematics, Probably Not: Future Prediction Using Probability and Statistical Inference~~ Lawrence Berke Dworsky~~Statistics~~Mathematics~~9780470282045, en, Probably Not: Future Prediction Using Probability and Statistical Inference, Lawrence Berke Dworsky, 9780470282045, Wiley-Interscience, 04/01/2008, , , , Wiley-Interscience, 04/01/2008
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2008, ISBN: 9780470282045
ID: 25975615
Future Prediction Using Probability and Statistical Inference, [ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Wiley-Interscience]
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Title: | Probably Not |
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Details of the book - Probably Not
EAN (ISBN-13): 9780470282045
ISBN (ISBN-10): 0470282045
Publishing year: 2008
Publisher: Wiley, J
352 Pages
Language: eng/Englisch
Book in our database since 15.09.2009 16:48:50
Book found last time on 22.10.2016 08:45:08
ISBN/EAN: 0470282045
ISBN - alternate spelling:
0-470-28204-5, 978-0-470-28204-5
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