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Statistics with JMP
Statistics with JMP: Hypothesis Tests, ANOVA and Regression Peter Goos, University of Leuven and University of Antwerp, Belgium David Meintrup, University of Applied Sciences Ingolstadt, Germany A first course on basic statistical methodology using JMP This book provides a first course on parameter...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2016.
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| Colección: | New York Academy of Sciences Ser.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Mu 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_on1347023687 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||||||| | ||
| 008 | 230209s2016 xx o ||| 0 eng d | ||
| 040 | |a EBLCP |b eng |c EBLCP |d HF9 |d OCLCQ |d EBLCP |d OCLCQ |d OCLCO |d OCLCQ | ||
| 020 | |a 9781119097044 | ||
| 020 | |a 1119097045 | ||
| 035 | |a (OCoLC)1347023687 | ||
| 082 | 0 | 4 | |a 519.50285/53 |q OCoLC |2 23/eng/20230216 |
| 090 | |a QA273.19.E4 |b G68 2016 | ||
| 049 | |a UAMI | ||
| 100 | 1 | |a Goos, Peter. | |
| 245 | 1 | 0 | |a Statistics with JMP |h [electronic resource]. |
| 260 | |a Newark : |b John Wiley & Sons, Incorporated, |c 2016. | ||
| 300 | |a 1 online resource (647 p.). | ||
| 490 | 1 | |a New York Academy of Sciences Ser. | |
| 500 | |a Description based upon print version of record. | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 500 | |a 4.2.2 Tests Based on the Binomial Distribution | ||
| 520 | |a Statistics with JMP: Hypothesis Tests, ANOVA and Regression Peter Goos, University of Leuven and University of Antwerp, Belgium David Meintrup, University of Applied Sciences Ingolstadt, Germany A first course on basic statistical methodology using JMP This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software. Key features: -Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested.-Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values).-Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic.-Promotes the use of graphs and confidence intervals in addition to p-values.-Course materials and tutorials for teaching are available on the book's companion website. Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 655 | 0 | |a Electronic books. | |
| 776 | 0 | 8 | |i Print version: |a Goos, Peter |t Statistics with JMP: Hypothesis Tests, ANOVA and Regression |d Newark : John Wiley & Sons, Incorporated,c2016 |z 9781119097150 |
| 830 | 0 | |a New York Academy of Sciences Ser. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7104425 |z Texto completo |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL7104425 | ||
| 994 | |a 92 |b IZTAP | ||