ISBN: 9781119035701 - statistics with jmp: graphs, descriptive statistics and probability (27 resultados)

Hardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardback. Condición: Good. Provides an overview of the descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. This book discusses the probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions.…

Hardback. Condición: Good. Provides an overview of the descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. This book discusses the probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions.…

Condición: As New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Hardback. Condición: New. Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP.Provides the statistical theory including detailed mathematical derivations.Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the reader's understanding of both the statistical theory and its applications.A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications.…

Condición: As New. Unread book in perfect condition.

Condición: new.

Condición: New.

Hardcover. Condición: new. Hardcover. Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP.Provides the statistical theory including detailed mathematical derivations.Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the readers understanding of both the statistical theory and its applications.A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications. Provides an overview of the descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. This book discusses the probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condición: As New. Unread book in perfect condition.

Condición: New. Provides an overview of the descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. This book discusses the probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions. Num Pages: 368 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 239 x 153 x 22. Weight in Grams: 590. . 2015. 1st Edition. Hardcover. . . . . …

Condición: New. pp. 368.

Condición: New. In English.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. pp. 368.

Condición: New. Provides an overview of the descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. This book discusses the probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions. Num Pages: 368 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 239 x 153 x 22. Weight in Grams: 590. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Condición: New. pp. 368.

Hardcover. Condición: new. Hardcover. Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP.Provides the statistical theory including detailed mathematical derivations.Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the readers understanding of both the statistical theory and its applications.A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications. Provides an overview of the descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. This book discusses the probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Hardback. Condición: New. Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP.Provides the statistical theory including detailed mathematical derivations.Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the reader's understanding of both the statistical theory and its applications.A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications.…

Hardcover. Condición: new. Hardcover. Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP.Provides the statistical theory including detailed mathematical derivations.Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the readers understanding of both the statistical theory and its applications.A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications. Provides an overview of the descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. This book discusses the probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Condición: New. KlappentextPeter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics.

Hardcover. Condición: Brand New. 347 pages. 9.00x6.25x1.00 inches. In Stock.

Buch. Condición: Neu. Neuware - Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: - Introduces each concept with practical examples and demonstrations in JMP. - Provides the statistical theory including detailed mathematical derivations. - Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the reader's understanding of both the statistical theory and its applications. - A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications.…

Hardcover. Condición: Brand New. 347 pages. 9.00x6.25x1.00 inches. In Stock. This item is printed on demand.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 623.