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Statistics with JMP : hypothesis tests, ANOVA, and regression / / Peter Goos, David Meintrup
Statistics with JMP : hypothesis tests, ANOVA, and regression / / Peter Goos, David Meintrup
Autore Goos Peter
Pubbl/distr/stampa Chichester, West Sussex : , : John Wiley & Sons, Incorporated, , 2016
Descrizione fisica 1 online resource (734 p.)
Disciplina 519.50285/53
Soggetto topico Probabilities - Data processing
Mathematical statistics - Data processing
Regression analysis
Soggetto genere / forma Electronic books.
ISBN 1-119-09704-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title page; Copyright; Dedication; Preface; Acknowledgments; Part One Estimators and Tests; 1 Estimating Population Parameters; 1.1 Introduction: Estimators Versus Estimates; 1.2 Estimating a Mean Value; 1.3 Criteria for Estimators; 1.4 Methods for the Calculation of Estimators; 1.5 The Sample Mean; 1.6 The Sample Proportion; 1.7 The Sample Variance; 1.8 The Sample Standard Deviation; 1.9 Applications; Notes; 2 Interval Estimators; 2.1 Point and Interval Estimators; 2.2 Confidence Intervals for a Population Mean with Known Variance
2.3 Confidence Intervals for a Population Mean with Unknown Variance2.4 Confidence Intervals for a Population Proportion; 2.5 Confidence Intervals for a Population Variance; 2.6 More Confidence Intervals in JMP; 2.7 Determining the Sample Size; Notes; 3 Hypothesis Tests; 3.1 Key Concepts; 3.2 Testing Hypotheses About a Population Mean; 3.3 The Probability of a Type II Error and the Power; 3.4 Determination of the Sample Size; 3.5 JMP; 3.6 Some Important Notes Concerning Hypothesis Testing; Notes; Part Two One Population; 4 Hypothesis Tests for a Population Mean, Proportion, or Variance
4.1 Hypothesis Tests for One Population Mean4.2 Hypothesis Tests for a Population Proportion; 4.3 Hypothesis Tests for a Population Variance; 4.4 The Probability of a Type II Error and the Power; Notes; 5 Two Hypothesis Tests for the Median of a Population; 5.1 The Sign Test; 5.2 The Wilcoxon Signed-Rank Test; Notes; 6 Hypothesis Tests for the Distribution of a Population; 6.1 Testing Probability Distributions; 6.2 Testing Probability Densities; 6.3 Discussion; Notes; Part Three Two Populations; 7 Independent Versus Paired Samples
8 Hypothesis Tests for the Means, Proportions, or Variances of Two Independent Samples8.1 Tests for Two Population Means for Independent Samples; 8.2 A Hypothesis Test for Two Population Proportions; 8.3 A Hypothesis Test for Two Population Variances; 8.4 Hypothesis Tests for Two Independent Samples in JMP; Notes; 9 A Nonparametric Hypothesis Test for the Medians of Two Independent Samples; 9.1 The Hypotheses Tested; 9.2 Exact p-Values in the Absence of Ties; 9.3 Exact p-Values in the Presence of Ties; 9.4 Approximate p-Values; Notes; 10 Hypothesis Tests for the Means of Two Paired Samples
10.1 The Hypotheses Tested10.2 The Procedure; 10.3 Examples; 10.4 The Technical Background; 10.5 Generalized Hypothesis Tests; 10.6 A Confidence Interval for a Difference of Two Population Means; Notes; 11 Two Nonparametric Hypothesis Tests for Paired Samples; 11.1 The Sign Test; 11.2 The Wilcoxon Signed-Rank Test; 11.3 Contradictory Results; Notes; Part Four More Than Two Populations; 12 Hypothesis Tests for More Than Two Population Means: One-Way Analysis of Variance; 12.1 One-Way Analysis of Variance; 12.2 The Test; 12.3 One-Way Analysis of Variance in JMP; 12.4 Pairwise Comparisons
12.5 The Relation Between a One-Way Analysis of Variance and a t-Test for Two Population Means
Record Nr. UNINA-9910465876503321
Goos Peter  
Chichester, West Sussex : , : John Wiley & Sons, Incorporated, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistics with JMP : hypothesis tests, ANOVA, and regression / / Peter Goos, David Meintrup
Statistics with JMP : hypothesis tests, ANOVA, and regression / / Peter Goos, David Meintrup
Autore Goos Peter
Pubbl/distr/stampa Chichester, West Sussex : , : John Wiley & Sons, Incorporated, , 2016
Descrizione fisica 1 online resource (734 pages) : illustrations (some color)
Disciplina 519.50285/53
Soggetto topico Mathematical statistics - Data processing
Probabilities - Data processing
Regression analysis
ISBN 1-119-09704-5
Classificazione 417
519.50285/53
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910795945403321
Goos Peter  
Chichester, West Sussex : , : John Wiley & Sons, Incorporated, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistics with JMP : hypothesis tests, ANOVA, and regression / / Peter Goos, David Meintrup
Statistics with JMP : hypothesis tests, ANOVA, and regression / / Peter Goos, David Meintrup
Autore Goos Peter
Pubbl/distr/stampa Chichester, West Sussex : , : John Wiley & Sons, Incorporated, , 2016
Descrizione fisica 1 online resource (734 pages) : illustrations (some color)
Disciplina 519.50285/53
Soggetto topico Mathematical statistics - Data processing
Probabilities - Data processing
Regression analysis
ISBN 1-119-09704-5
Classificazione 417
519.50285/53
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910821199303321
Goos Peter  
Chichester, West Sussex : , : John Wiley & Sons, Incorporated, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistics with JMP : graphs, descriptive statistics and probability / / Peter Goos, David Meintrup
Statistics with JMP : graphs, descriptive statistics and probability / / Peter Goos, David Meintrup
Autore Goos Peter
Pubbl/distr/stampa West Sussex, England : , : Wiley, , 2015
Descrizione fisica 1 online resource (368 p.)
Disciplina 519.50285/53
Soggetto topico Probabilities - Data processing
Soggetto genere / forma Electronic books.
ISBN 1-119-03575-9
1-119-03574-0
Classificazione MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
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
Record Nr. UNINA-9910464101803321
Goos Peter  
West Sussex, England : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistics with JMP : graphs, descriptive statistics and probability / / Peter Goos, David Meintrup
Statistics with JMP : graphs, descriptive statistics and probability / / Peter Goos, David Meintrup
Autore Goos Peter
Pubbl/distr/stampa West Sussex, England : , : Wiley, , 2015
Descrizione fisica 1 online resource (xv, 345 pages) : illustrations
Disciplina 519.50285/53
Soggetto topico Probabilities - Data processing
ISBN 1-119-03574-0
1-119-03575-9
Classificazione 417
519.50285536
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Statistics with JMP: Hypothesis Tests, Anova and Regression -- Contents -- Preface -- Software -- Data Files -- Acknowledgments -- Part One Estimators and Tests -- 1 Estimating Population Parameters -- 1.1 Introduction: Estimators Versus Estimates -- 1.2 Estimating a Mean Value -- 1.2.1 The Mean of a Normally Distributed Population -- 1.2.2 The Mean of an Exponentially Distributed Population -- 1.3 Criteria for Estimators -- 1.3.1 Unbiased Estimators -- 1.3.2 The Efficiency of an Estimator -- 1.4 Methods for the Calculation of Estimators -- 1.5 The Sample Mean 1.5.1 The Expected Value and the Variance -- 1.5.2 The Probability Density of the Sample Mean for a Normally Distributed Population -- 1.5.3 The Probability Density of the Sample Mean for a Nonnormally Distributed Population -- 1.5.4 An Illustration of the Central Limit Theorem -- 1.6 The Sample Proportion -- 1.7 The Sample Variance -- 1.7.1 The Expected Value -- 1.7.2 The 2-Distribution -- 1.7.3 The Relation Between the Standard Normal and the 2-Distribution -- 1.7.4 The Probability Density of the Sample Variance -- 1.8 The Sample Standard Deviation -- 1.9 Applications -- 2 Interval Estimators 2.1 Point and Interval Estimators -- 2.2 Confidence Intervals for a Population Mean with Known Variance -- 2.2.1 The Percentiles of the Standard Normal Density -- 2.2.2 Computing a Confidence Interval -- 2.2.3 The Width of a Confidence Interval -- 2.2.4 The Margin of Error -- 2.3 Confidence Intervals for a Population Mean with Unknown Variance -- 2.3.1 The Student t-Distribution -- 2.3.2 The Application of the t-Distribution to Construct Confidence Intervals -- 2.4 Confidence Intervals for a Population Proportion -- 2.4.1 A First Interval Estimator Based on the Normal Distribution 2.4.2 A Second Interval Estimator Based on the Normal Distribution -- 2.4.3 An Interval Estimator Based on the Binomial Distribution -- 2.5 Confidence Intervals for a Population Variance -- 2.6 More Confidence Intervals in JMP -- 2.7 Determining the Sample Size -- 2.7.1 The Population Mean -- 2.7.2 The Population Proportion -- 3 Hypothesis Tests -- 3.1 Key Concepts -- 3.2 Testing Hypotheses About a Population Mean -- 3.2.1 The Right-Tailed Test -- 3.2.2 The Left-Tailed Test -- 3.2.3 The Two-Tailed Test -- 3.3 The Probability of a Type II Error and the Power -- 3.4 Determination of the Sample Size 3.5 JMP -- 3.6 Some Important Notes Concerning Hypothesis Testing -- 3.6.1 Fixing the Significance Level -- 3.6.2 A Note on the "Acceptance" of the Null Hypothesis -- 3.6.3 Statistical and Practical Significance -- Part Two One Population -- 4 Hypothesis Tests for a Population Mean, Proportion, or Variance -- 4.1 Hypothesis Tests for One Population Mean -- 4.1.1 The Right-Tailed Test -- 4.1.2 The Left-Tailed Test -- 4.1.3 The Two-Tailed Test -- 4.1.4 Nonnormal Data -- 4.1.5 The Use of JMP -- 4.2 Hypothesis Tests for a Population Proportion -- 4.2.1 Tests Based on the Normal Distribution.
Record Nr. UNINA-9910796068103321
Goos Peter  
West Sussex, England : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistics with JMP : graphs, descriptive statistics and probability / / Peter Goos, David Meintrup
Statistics with JMP : graphs, descriptive statistics and probability / / Peter Goos, David Meintrup
Autore Goos Peter
Pubbl/distr/stampa West Sussex, England : , : Wiley, , 2015
Descrizione fisica 1 online resource (xv, 345 pages) : illustrations
Disciplina 519.50285/53
Soggetto topico Probabilities - Data processing
ISBN 1-119-03574-0
1-119-03575-9
Classificazione 417
519.50285536
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Statistics with JMP: Hypothesis Tests, Anova and Regression -- Contents -- Preface -- Software -- Data Files -- Acknowledgments -- Part One Estimators and Tests -- 1 Estimating Population Parameters -- 1.1 Introduction: Estimators Versus Estimates -- 1.2 Estimating a Mean Value -- 1.2.1 The Mean of a Normally Distributed Population -- 1.2.2 The Mean of an Exponentially Distributed Population -- 1.3 Criteria for Estimators -- 1.3.1 Unbiased Estimators -- 1.3.2 The Efficiency of an Estimator -- 1.4 Methods for the Calculation of Estimators -- 1.5 The Sample Mean 1.5.1 The Expected Value and the Variance -- 1.5.2 The Probability Density of the Sample Mean for a Normally Distributed Population -- 1.5.3 The Probability Density of the Sample Mean for a Nonnormally Distributed Population -- 1.5.4 An Illustration of the Central Limit Theorem -- 1.6 The Sample Proportion -- 1.7 The Sample Variance -- 1.7.1 The Expected Value -- 1.7.2 The 2-Distribution -- 1.7.3 The Relation Between the Standard Normal and the 2-Distribution -- 1.7.4 The Probability Density of the Sample Variance -- 1.8 The Sample Standard Deviation -- 1.9 Applications -- 2 Interval Estimators 2.1 Point and Interval Estimators -- 2.2 Confidence Intervals for a Population Mean with Known Variance -- 2.2.1 The Percentiles of the Standard Normal Density -- 2.2.2 Computing a Confidence Interval -- 2.2.3 The Width of a Confidence Interval -- 2.2.4 The Margin of Error -- 2.3 Confidence Intervals for a Population Mean with Unknown Variance -- 2.3.1 The Student t-Distribution -- 2.3.2 The Application of the t-Distribution to Construct Confidence Intervals -- 2.4 Confidence Intervals for a Population Proportion -- 2.4.1 A First Interval Estimator Based on the Normal Distribution 2.4.2 A Second Interval Estimator Based on the Normal Distribution -- 2.4.3 An Interval Estimator Based on the Binomial Distribution -- 2.5 Confidence Intervals for a Population Variance -- 2.6 More Confidence Intervals in JMP -- 2.7 Determining the Sample Size -- 2.7.1 The Population Mean -- 2.7.2 The Population Proportion -- 3 Hypothesis Tests -- 3.1 Key Concepts -- 3.2 Testing Hypotheses About a Population Mean -- 3.2.1 The Right-Tailed Test -- 3.2.2 The Left-Tailed Test -- 3.2.3 The Two-Tailed Test -- 3.3 The Probability of a Type II Error and the Power -- 3.4 Determination of the Sample Size 3.5 JMP -- 3.6 Some Important Notes Concerning Hypothesis Testing -- 3.6.1 Fixing the Significance Level -- 3.6.2 A Note on the "Acceptance" of the Null Hypothesis -- 3.6.3 Statistical and Practical Significance -- Part Two One Population -- 4 Hypothesis Tests for a Population Mean, Proportion, or Variance -- 4.1 Hypothesis Tests for One Population Mean -- 4.1.1 The Right-Tailed Test -- 4.1.2 The Left-Tailed Test -- 4.1.3 The Two-Tailed Test -- 4.1.4 Nonnormal Data -- 4.1.5 The Use of JMP -- 4.2 Hypothesis Tests for a Population Proportion -- 4.2.1 Tests Based on the Normal Distribution.
Record Nr. UNINA-9910820174303321
Goos Peter  
West Sussex, England : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui