Statistics and probability with applications for engineers and scientists using Minitab, R and JMP /

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"This new edition shows how real world problems can be solved using statistical concepts, now with many timely updates. The authors have included R software and removed the Excel exhibits throughout the book. The new Chapter 20 discusses data mining including topics in big data, classification,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Gupta, Bhisham C., 1942- (Autor), Guttman, Irwin (Autor), Jayalath, Kalanka (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc., 2020.
Edición:Second edition.
Temas:
Probabilities.
Mathematical statistics.
Probabilités.
probability.
Mathematical statistics
Probabilities
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright
  • Contents
  • Chapter 1 Introduction
  • 1.1 Designed Experiment
  • 1.1.1 Motivation for the Study
  • 1.1.2 Investigation
  • 1.1.3 Changing Criteria
  • 1.1.4 A Summary of the Various Phases of the Investigation
  • 1.2 A Survey
  • 1.3 An Observational Study
  • 1.4 A Set of Historical Data
  • 1.5 A Brief Description of What is Covered in this Book
  • Chapter 2 Describing Data Graphically and Numerically
  • 2.1 Getting Started with Statistics
  • 2.1.1 What Is Statistics?
  • 2.1.2 Population and Sample in a Statistical Study
  • 2.2 Classification of Various Types of Data
  • 2.2.1 Nominal Data
  • 2.2.2 Ordinal Data
  • 2.2.3 Interval Data
  • 2.2.4 Ratio Data
  • 2.3 Frequency Distribution Tables for Qualitative and Quantitative Data
  • 2.3.1 Qualitative Data
  • 2.3.2 Quantitative Data
  • 2.4 Graphical Description of Qualitative and Quantitative Data
  • 2.4.1 Dot Plot
  • 2.4.2 Pie Chart
  • 2.4.3 Bar Chart
  • 2.4.4 Histograms
  • 2.4.5 Line Graph
  • 2.4.6 Stem-and-Leaf Plot
  • 2.5 Numerical Measures of Quantitative Data
  • 2.5.1 Measures of Centrality
  • 2.5.2 Measures of Dispersion
  • 2.6 Numerical Measures of Grouped Data
  • 2.6.1 Mean of a Grouped Data
  • 2.6.2 Median of a Grouped Data
  • 2.6.3 Mode of a Grouped Data
  • 2.6.4 Variance of a Grouped Data
  • 2.7 Measures of Relative Position
  • 2.7.1 Percentiles
  • 2.7.2 Quartiles
  • 2.7.3 Interquartile Range (IQR)
  • 2.7.4 Coefficient of Variation
  • 2.8 Box-Whisker Plot
  • 2.8.1 Construction of a Box Plot
  • 2.8.2 How to Use the Box Plot
  • 2.9 Measures of Association
  • 2.10 Case Studies
  • 2.10.1 About St. Luke's Hospital
  • 2.11 Using JMP
  • 2.11 Review Practice Problems
  • Chapter 3 Elements of Probability
  • 3.1 Introduction
  • 3.2 Random Experiments, Sample Spaces, and Events
  • 3.2.1 Random Experiments and Sample Spaces
  • 3.2.2 Events
  • 3.3 Concepts of Probability
  • 3.4 Techniques of Counting Sample Points
  • 3.4.1 Tree Diagram
  • 3.4.2 Permutations
  • 3.4.3 Combinations
  • 3.4.4 Arrangements of n Objects Involving Several Kinds of Objects
  • 3.5 Conditional Probability
  • 3.6 Bayes's Theorem
  • 3.7 Introducing Random Variables
  • 3.7 Review Practice Problems
  • Chapter 4 Discrete Random Variables and Some Important Discrete Probability Distributions
  • 4.1 Graphical Descriptions of Discrete Distributions
  • 4.2 Mean and Variance of a Discrete Random Variable
  • 4.2.1 Expected Value of Discrete Random Variables and Their Functions
  • 4.2.2 The Moment-Generating Function-Expected Value of a Special Function of X
  • 4.3 The Discrete Uniform Distribution
  • 4.4 The Hypergeometric Distribution
  • 4.5 The Bernoulli Distribution
  • 4.6 The Binomial Distribution
  • 4.7 The Multinomial Distribution
  • 4.8 The Poisson Distribution
  • 4.8.1 Definition and Properties of the Poisson Distribution
  • 4.8.2 Poisson Process
  • 4.8.3 Poisson Distribution as a Limiting Form of the Binomial

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