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The mathematics of counting permutations and combinations is required knowledge for probability, statistics, professional gambling, and many other fields. But counting is hard. Students find it hard. Teachers find it hard. And in the end the only way to learn is to do many problems. Tim Hill's learn-by-example approach presents counting concepts and problems of gradually increasing difficulty. If you become lost or confused, then you can back up a bit for clarification. With practice, you'll develop the ability to decompose complex problems and then assemble the partial solutions to arrive at the final answer. The result: learn in a few weeks what conventional schools stretch into months. Teaches general principles that can be applied to a wide variety of problems. Avoids the mindless and excessive routine computations that characterize conventional textbooks. Treats counting as a logically coherent discipline, not as a disjointed collection of techniques. Restores proofs to their proper place to remove doubt, convey insight, and encourage precise logical thinking. Omits digressions, excessive formalities, and repetitive exercises. Provides exceptional preparation for probability and statistics courses. Includes problems (with all solutions) that extend your knowledge rather than merely reinforce it. Contents 1. The Sum Rule and Product Rule 2. Permutations 3. Combinations 4. The Binomial Theorem 5. Combinations with Repetition 6. Summary and Solutions About the Author Tim Hill is a statistician living in Boulder, Colorado. He holds degrees in mathematics and statistics from Stanford University and the University of Colorado. Tim has written self-teaching guides for Algebra, Trigonometry, Geometry, Precalculus, Advanced Precalculus, Permutations & Combinations, Mathematics of Money, and Excel Pivot Tables. When he's not crunching numbers, Tim climbs rocks, hikes canyons, and avoids malls.
The mathematics of counting permutations and combinations is required knowledge for probability, statistics, professional gambling, and many other fields. But counting is hard. Students find it hard. Teachers find it hard. And in the end the only way to learn is to do many problems. Tim Hill's learn-by-example approach presents counting concepts and problems of gradually increasing difficulty. If you become lost or confused, then you can back up a bit for clarification. With practice, you'll develop the ability to decompose complex problems and then assemble the partial solutions to arrive at the final answer. The result: learn in a few weeks what conventional schools stretch into months. - Teaches general principles that can be applied to a wide variety of problems. - Avoids the mindless and excessive routine computations that characterize conventional textbooks. - Treats counting as a logically coherent discipline, not as a disjointed collection of techniques. - Restores proofs to their proper place to remove doubt, convey insight, and encourage precise logical thinking. - Omits digressions, excessive formalities, and repetitive exercises. - Provides exceptional preparation for probability and statistics courses. - Includes problems (with all solutions) that extend your knowledge rather than merely reinforce it. Contents 1. The Sum Rule and Product Rule 2. Permutations 3. Combinations 4. The Binomial Theorem 5. Combinations with Repetition 6. Summary and Solutions
Never worry about understanding permutations and combinations again!!! Are you ready to master permutations and combinations?If you answered "YES!" then you'll want to download this book today Here's a brief overview of the chapters... Chapter one of the book reviews the basics of permutations and combination to provide you with a big picture view of counting problems Chapter two delves deeper to provide you a solid understanding of permutations Chapter three focuses on exploring combinations and how it is different from permutations In chapter four, you'll learn how to solve more difficult mixed problems of permutations and combinations Chapter five dives deeper to provide a complete understanding of how permutations and combinations are applied in the lottery Finally, in chapter six, you'll learn how combinations can help you solve more complex poker problems. (insert bullet point) Much, much more! Download your copy today!
Combinatorics is a subject of increasing importance because of its links with computer science, statistics, and algebra. This textbook stresses common techniques (such as generating functions and recursive construction) that underlie the great variety of subject matter, and the fact that a constructive or algorithmic proof is more valuable than an existence proof. The author emphasizes techniques as well as topics and includes many algorithms described in simple terms. The text should provide essential background for students in all parts of discrete mathematics.
How many possible sudoku puzzles are there? In the lottery, what is the chance that two winning balls have consecutive numbers? Who invented Pascal's triangle? (it was not Pascal) Combinatorics, the branch of mathematics concerned with selecting, arranging, and listing or counting collections of objects, works to answer all these questions. Dating back some 3000 years, and initially consisting mainly of the study of permutations and combinations, its scope has broadened to include topics such as graph theory, partitions of numbers, block designs, design of codes, and latin squares. In this Very Short Introduction Robin Wilson gives an overview of the field and its applications in mathematics and computer theory, considering problems from the shortest routes covering certain stops to the minimum number of colours needed to colour a map with different colours for neighbouring countries. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
The Perfect Probability Book for Beginners Wanting to Learn About Permutations & Combinations Multi-time best selling IT & mathematics author, Arthur Taff, presents a leading book for beginners to learn and understand probability concepts such as permutations and combinations. Learning about probability with combinations and permutations gives you a competitive edge in ANY field. Whether it's poker, horse racing, weather forecasting, playing the lottery, general mathematics or virtually any other field where odds need to be determined--this book will help you succeed In this book, you will get: A breakdown of the essentials of permutations and combinations to give you a simple--but not simplistic--approach to calculating any given outcome based on certain variables. Introduction to the Fundamentals of Probability. Breakdown of Permutations & Combinations (With Examples). How to Use Permutations & Combinations in Probability. Urn Problems & How to Approach Them. Probability & Real Life Situations (Lottery, Poker, Weather Forecasts, etc.). Arthur's personal email address for unlimited customer support if you have any questions And much, much more... By the time you're done reading this book you'll have a better understanding of how to use probability in real-world situations. You'll even see I've purposely avoided using a lot of jargon and complex theory so that beginners can pick up this book and gain a working knowledge of how to put permutations and combinations to use, and arrive at outcomes. Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page
This book is a gentle introduction to the enumerative part of combinatorics suitable for study at the advanced undergraduate or beginning graduate level. In addition to covering all the standard techniques for counting combinatorial objects, the text contains material from the research literature which has never before appeared in print, such as the use of quotient posets to study the Möbius function and characteristic polynomial of a partially ordered set, or the connection between quasisymmetric functions and pattern avoidance. The book assumes minimal background, and a first course in abstract algebra should suffice. The exposition is very reader friendly: keeping a moderate pace, using lots of examples, emphasizing recurring themes, and frankly expressing the delight the author takes in mathematics in general and combinatorics in particular.