Statistics with JMP : hypothesis tests, ANOVA, and regression
By: Goos, Peter
Title By: Meintrup, David
Material type:
BookPublisher: xix, 624 p. : Wiley, c2016.Description: xvii, 624 p. : ill. ; 26 cm.ISBN: 9781119097150; 1119097150Subject(s): Probabilities -- Data processing | Mathematical statistics -- Data processing | Regression analysisDDC classification: 519.5028553 GO ST Online resources: Location Map | Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 519.5028553 GO ST (Browse shelf) | Available | T0058713 |
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| 519.502855 PA PR SPSS for Windows step by step : | 519.502855133 KL AP Applied Econometrics with R / | 519.5028553 BL IN Introduction to structural equation modeling using IBM SPSS statistics and EQS | 519.5028553 GO ST Statistics with JMP : | 519.5028553 PR ST Student study guide with SPSS workbook for statistics for the behavioral sciences / | 519.50285536 SE VE Seventy-six Stata tips / | 519.50285536 SE VE Seventy-six Stata tips / |
Includes bibliographical references and index.
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.