Elementary Statistics Using JMP

Autoren: Sandra Schlotzhauer
Sprache: Englisch
Verlag: SAS Publishing
ISBN: 978-1-59994-375-6
480 Seiten

• perform basic statistical analyses using JMP
• basics of JMP data tables
• using JMP for descriptive statistics and graphs
• fundamental statistical concepts, including
  • normality and
  • hypothesis testing
• step-by-step approach
  • analyses for comparing two groups
  • comparing multiple groups
  • fitting regression equations
  • 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.

Behandelte statistische Methoden:

• 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
• 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

Includes a free CD-ROM with the example data sets and JMP tips.

SAS Products and Releases:

• JMP software: 7.0, 6.0

Buchkategorie: Monographie

Zielgruppe: Elementary Statistics Using JMP(R) will be useful for practical statistical analysis and also as a companion to statistical text books for college and university courses. --Ramon C. Littell, Ph.D., Professor of Statistics