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Peter Goos - Statistics with JMP: Graphs, Descriptive Statistics and Probability - 9781119035701 - V9781119035701
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Statistics with JMP: Graphs, Descriptive Statistics and Probability

€ 95.83
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Description for Statistics with JMP: Graphs, Descriptive Statistics and Probability Hardcover. 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.

Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, Belgium

David Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, Germany

Thorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMP

JMP: 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.

Product Details

Format
Hardback
Publication date
2015
Publisher
John Wiley & Sons Inc United States
Number of pages
368
Condition
New
Number of Pages
368
Place of Publication
New York, United States
ISBN
9781119035701
SKU
V9781119035701
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Peter Goos
Peter Goos and David?Meintrup, Department of Mathematics, Statistics and Actuarial Sciences of the Faculty of Applied Economics of the University of Antwerp, Belgium.

Reviews for Statistics with JMP: Graphs, Descriptive Statistics and Probability
“For teachers of applied statistics, this book provides a rich resource of course material, examples and applications.”  (Zentralblatt MATH, 1 June 2015)

Goodreads reviews for Statistics with JMP: Graphs, Descriptive Statistics and Probability


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