Statistics with JMP : graphs, descriptive statistics and probability / / Peter Goos, David Meintrup

• Record Nr.: UNINA9910464101803321
• Autore: Goos Peter
• Pubbl/distr/stampa: West Sussex, England : , : Wiley, , 2015; ©2015
• ISBN: 1-119-03575-9; 1-119-03574-0
• Descrizione fisica: 1 online resource (368 p.)
• Classificazione: MAT029000
• Disciplina: 519.50285/53
• Soggetti: Probabilities - Data processing; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 variables2.4.3 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, deciles3.2.2 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 JMPChapter 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 experiments5.3.2 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; 6.5 Families of probability distributions and probability densities; 6.6 Simulation of random variables; Chapter 7 Statistics of populations and processes; 7.1 Expected value of a random variable
• Sommario/riassunto: "Provides a comprehensive and rigorous presentation of descriptive statistics and probability theory that has been extensively classroom tested"--