Statistics with JMP Graphs, Descriptive Statistics and Probability.

Detalles Bibliográficos
Autor principal: Goos, Peter
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2015.
Colección:New York Academy of Sciences Ser.
Temas:
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright
  • Contents
  • Preface
  • Acknowledgments
  • Chapter 1 What is statistics?
  • 1.1 Why statistics?
  • 1.2 Definition of statistics
  • 1.3 Examples
  • 1.4 The subject of statistics
  • 1.5 Probability
  • 1.6 Software
  • Chapter 2 Data and its representation
  • 2.1 Types of data and measurement scales
  • 2.1.1 Categorical or qualitative variables
  • 2.1.2 Quantitative variables
  • 2.1.3 Hierarchy of scales
  • 2.1.4 Measurement scales in JMP
  • 2.2 The data matrix
  • 2.3 Representing univariate qualitative variables
  • 2.4 Representing univariate quantitative variables
  • 2.4.1 Stem and leaf diagram
  • 2.4.2 Needle charts for univariate discrete quantitative variables
  • 2.4.3 Histograms and frequency polygons for continuous variables
  • 2.4.4 Empirical cumulative distribution functions
  • 2.5 Representing bivariate data
  • 2.5.1 Qualitative variables
  • 2.5.2 Quantitative variables
  • 2.6 Representing time series
  • 2.7 The use of maps
  • 2.8 More graphical capabilities
  • Chapter 3 Descriptive statistics of sample data
  • 3.1 Measures of central tendency or location
  • 3.1.1 Median
  • 3.1.2 Mode
  • 3.1.3 Arithmetic mean
  • 3.1.4 Geometric mean
  • 3.2 Measures of relative location
  • 3.2.1 Order statistics, quantiles, percentiles, deciles
  • 3.2.2 Quartiles
  • 3.3 Measures of variation or spread
  • 3.3.1 Range
  • 3.3.2 Interquartile range
  • 3.3.3 Mean absolute deviation
  • 3.3.4 Variance
  • 3.3.5 Standard deviation
  • 3.3.6 Coefficient of variation
  • 3.3.7 Dispersion indices for nominal and ordinal variables
  • 3.4 Measures of skewness
  • 3.5 Kurtosis
  • 3.6 Transformation and standardization of data
  • 3.7 Box plots
  • 3.8 Variability charts
  • 3.9 Bivariate data
  • 3.9.1 Covariance
  • 3.9.2 Correlation
  • 3.9.3 Rank correlation
  • 3.10 Complementarity of statistics and graphics
  • 3.11 Descriptive statistics using JMP
  • Chapter 4 Probability
  • 4.1 Random experiments
  • 4.2 Definition of probability
  • 4.3 Calculation rules
  • 4.4 Conditional probability
  • 4.5 Independent and dependent events
  • 4.6 Total probability and Bayes' rule
  • 4.7 Simulating random experiments
  • Chapter 5 Additional aspects of probability theory
  • 5.1 Combinatorics
  • 5.1.1 Addition rule
  • 5.1.2 Multiplication principle
  • 5.1.3 Permutations
  • 5.1.4 Combinations
  • 5.2 Number of possible orders
  • 5.2.1 Two different objects
  • 5.2.2 More than two different objects
  • 5.3 Applications of probability theory
  • 5.3.1 Sequences of independent random experiments
  • 5.3.2 Euromillions
  • Chapter 6 Univariate random variables
  • 6.1 Random variables and distribution functions
  • 6.2 Discrete random variables and probability distributions
  • 6.3 Continuous random variables and probability densities
  • 6.4 Functions of random variables
  • 6.4.1 Functions of one discrete random variable
  • 6.4.2 Functions of one continuous random variable

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