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9781118947081 English 1118947088 Praise for the First Edition "This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory." - The Statistician Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition is a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an accessible introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging students to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs. The Second Edition features interesting and practical examples from a variety of engineering and scientific fields as well as: Over 880 problems at varying degrees of difficulty allowing readers to take on more challenging problems as their skill levels increase Chapter-by-chapter projects that aid in the visualization of probability distributions New coverage of statistical quality control and quality production An appendix dedicated to the use of Mathematica and a companion website containing the referenced data sets Featuring a practical and real-world approach, this textbook is ideal for a first course in probability for students majoring in statistics, engineering, business, psychology, operations research, and mathematics. Probability: An Introduction with Statistical Applications, Second Edition is also an excellent reference for researchers and professionals of any discipline who need to make decisions based on data as well as readers interested in learning how to accomplish effective decision making from data., Praise for the First Edition "This is a wellwritten and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory."& The Statistician Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging readers to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs. The Second Edition features interesting and practical examples from a variety of engineering and scientific fields, as well as: Over 880 problems at varying degrees of difficulty allowing readers to take on more challenging problems as their skill levels increase Chapterbychapter projects that aid in the visualization of probability distributions New coverage of statistical quality control and quality production An appendix dedicated to the use of Mathematica&® and a companion website containing the referenced data sets Featuring a practical and realworld approach, this textbook is ideal for a first course in probability for students majoring in statistics, engineering, business, psychology, operations research, and mathematics. Probability: An Introduction with Statistical Applications, Second Edition is also an excellent reference for researchers and professionals in any discipline who need to make decisions based on data as well as readers interested in learning how to accomplish effective decision making from data., The theory of probability is concerned with events that occur when randomness or chance influences the result. While the data from a sample survey or the occurrence of extreme weather patterns are common enough examples of situations where randomness is involved, we have come to presume that many models of the physical world contain elements of randomeness as well. This "Second Edition" has been completely updated to reflect Mathematica V9, and in addition, reflects a variety of applications of probability using more than 800 worked examples and problems within the text. The problems are presented at various levels of difficulty allowing students to take on more challenging problems as their skill level increases. The author places a strong emphasis on the statistical analysis of data as an application of probability. Topics from statistics are integrated throughout the book, and exercises focus on reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. This new edition features a practical and wide-spread presentation that is applicable to readers with a minimal background in multivariate calculus. Mathematical ideas are often easily understood until one sees formal definitions that frequently obcrure such understanding. As such, the author provides examples that allow readers to explore ideas without the burden of language or mathentical rigor.
9781118947081 English 1118947088 Praise for the First Edition "This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory." - The Statistician Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition is a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an accessible introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging students to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs. The Second Edition features interesting and practical examples from a variety of engineering and scientific fields as well as: Over 880 problems at varying degrees of difficulty allowing readers to take on more challenging problems as their skill levels increase Chapter-by-chapter projects that aid in the visualization of probability distributions New coverage of statistical quality control and quality production An appendix dedicated to the use of Mathematica and a companion website containing the referenced data sets Featuring a practical and real-world approach, this textbook is ideal for a first course in probability for students majoring in statistics, engineering, business, psychology, operations research, and mathematics. Probability: An Introduction with Statistical Applications, Second Edition is also an excellent reference for researchers and professionals of any discipline who need to make decisions based on data as well as readers interested in learning how to accomplish effective decision making from data., Praise for the First Edition "This is a wellwritten and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory."& The Statistician Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging readers to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs. The Second Edition features interesting and practical examples from a variety of engineering and scientific fields, as well as: Over 880 problems at varying degrees of difficulty allowing readers to take on more challenging problems as their skill levels increase Chapterbychapter projects that aid in the visualization of probability distributions New coverage of statistical quality control and quality production An appendix dedicated to the use of Mathematica&® and a companion website containing the referenced data sets Featuring a practical and realworld approach, this textbook is ideal for a first course in probability for students majoring in statistics, engineering, business, psychology, operations research, and mathematics. Probability: An Introduction with Statistical Applications, Second Edition is also an excellent reference for researchers and professionals in any discipline who need to make decisions based on data as well as readers interested in learning how to accomplish effective decision making from data., The theory of probability is concerned with events that occur when randomness or chance influences the result. While the data from a sample survey or the occurrence of extreme weather patterns are common enough examples of situations where randomness is involved, we have come to presume that many models of the physical world contain elements of randomeness as well. This "Second Edition" has been completely updated to reflect Mathematica V9, and in addition, reflects a variety of applications of probability using more than 800 worked examples and problems within the text. The problems are presented at various levels of difficulty allowing students to take on more challenging problems as their skill level increases. The author places a strong emphasis on the statistical analysis of data as an application of probability. Topics from statistics are integrated throughout the book, and exercises focus on reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. This new edition features a practical and wide-spread presentation that is applicable to readers with a minimal background in multivariate calculus. Mathematical ideas are often easily understood until one sees formal definitions that frequently obcrure such understanding. As such, the author provides examples that allow readers to explore ideas without the burden of language or mathentical rigor.