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Probability : for the enthusiastic beginner

جلد کتاب Probability : for the enthusiastic beginner

معرفی کتاب «Probability : for the enthusiastic beginner» نوشتهٔ David J. Morin، Matthew Van Natta و Steve Rimpici، منتشرشده توسط نشر [publisher not identified];CreateSpace Independent Publishing Platform در سال 2016. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book is written for high school and college students learning about probability for the first time. It will appeal to the reader who has a healthy level of enthusiasm for understanding how and why the various results of probability come about. All of the standard introductory topics in probability are covered: combinatorics, the rules of probability, Bayes’ theorem, expectation value, variance, probability density, common distributions, the law of large numbers, the central limit theorem, correlation, and regression. Calculus is not a prerequisite, although a few of the problems do involve calculus. These are marked clearly. The book features 150 worked-out problems in the form of examples in the text and solved problems at the end of each chapter. These problems, along with the discussions in the text, will be a valuable resource in any introductory probability course, either as the main text or as a helpful supplement. This book is written for high school and college students learning about probability for the first time. It will appeal to the reader who has a healthy level of enthusiasm for understanding how and why the various results of probability come about. All of the standard introductory topics in probability are covered:combinatorics, the rules of probability, Bayes’ theorem, expectation value, variance, probability density, common distributions, the law of large numbers, the central limit theorem, correlation, and regression. Calculus is not a prerequisite, although a few of the problems do involve calculus. These are marked clearly. - Features 150 worked-out problems in the form of examples in the text and solved problems at the end of each chapter. - Includes 100 figures to help illustrate important concepts. - Frequently provides helpful supplementary remarks that are separated off from the main text. - Concludes with appendices that develop the mathematical tools needed for derivations in the text. - A valuable resource in any introductory probability course, either as the main text or as a supplement. "For high school and college students learning about probability for the first time. It will appeal to the reader who has a healthy level of enthusiasm for understanding how and why the various results of probability come about. All of the standard introductory topics in probability are covered: combinatorics, the rules of probability, Bayes' theorem, expectation value, variance, probability density, common distributions, the law of large numbers, the central limit theorem, correlation, and regression. Calculus is not a prerequisite, although a few of the problems do involve calculus. These are marked clearly."-- Page 4 de la couverture Preface -- Combinatorics -- Probability -- Expectation Values -- Distributions -- Gaussian Approximations -- Correlation And Regression -- Appendices. David Morin. Includes Index. Content: Preface -- Combinatorics -- Probability -- Expectation values -- Distributions -- Gaussian approximations -- Correlation and regression -- Appendices.
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