Elementary Statistics Using JMP - Couverture souple

Schlotzhauer, Sandra

Couverture souple

ISBN 10 : 1599943751 ISBN 13 : 9781599943756

Editeur : SAS Institute, 2007

Synopsis

Learn how to perform basic statistical analyses using the powerful JMP software. Elementary Statistics Using JMP bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues with a lucid discussion of fundamental statistical concepts, including normality and hypothesis testing. Using a step-by-step approach, she shows analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, the author clearly explains assumptions, the statistical approach, the JMP steps and results, and how to make conclusions from the results.

Statistical methods include:

• histograms, box plots, descriptive statistics, stem-and-leaf plots
• mosaic plots, bar charts, and treemaps
• t-tests and Wilcoxon tests to compare two independent or paired groups
• one-way ANOVA and Kruskal-Wallis tests, and selected multiple comparison techniques
• Pearson and Spearman correlation coefficients
• regression models for lines, curves, and multiple variables
• residuals plots and lack-of-fit tests for regression
• Chi-square tests, Fisher's Exact test, and measures of association for contingency tables.

Understand how to interpret both the graphs and text reports, as well as how to customize JMP results to meet your needs. Packed with examples from a broad range of industries, this text is ideal for novice to intermediate JMP users. Prior statistical knowledge, JMP experience, or programming skills are not required.

A propos du livre

Statistical methods include:

• histograms, box plots, descriptive statistics, stem-and-leaf plots
• mosaic plots, bar charts, and treemaps
• t-tests and Wilcoxon tests to compare two independent or paired groups
• one-way ANOVA and Kruskal-Wallis tests, and selected multiple comparison techniques
• Pearson and Spearman correlation coefficients
• regression models for lines, curves, and multiple variables
• residuals plots and lack-of-fit tests for regression
• Chi-square tests, Fisher's Exact test, and measures of association for contingency tables.

Understand how to interpret both the graphs and text reports, as well as how to customize JMP results to meet your needs. Packed with examples from a broad range of industries, this text is ideal for novice to intermediate JMP users. Prior statistical knowledge, JMP experience, or programming skills are not required.

Biographie de l'auteur

Sandra Schlotzhauer provides consulting and training services, focusing on the pharmaceutical industry. She started Schlotzhauer Consulting LLC in 1996 after 15 years of experience in the software, pharmaceutical, and aerospace industries. Sandra received her BS and MS in statistics from the University of Florida, where she learned the value of combining statistics and software. Her consulting projects share a common theme of translating technical concepts to business deliverables. She draws on her extensive experience in teaching basic statistics to non-statisticians, with a focus on using statistical methods and software as tools to make practical decisions based on data. Sandra is also the author of Elementary Statistics Using JMP. Sandra has used SAS software since 1979, and currently uses it in projects to validate clinical trial analyses.

Détails de l'édition

• Éditeur: SAS Institute
• Date d'édition: 2007
• Langue: anglais
• ISBN 10: 1599943751
• ISBN 13: 9781599943756
• Reliure: Broché
• Nombre de pages: 472
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible