Elementary Statistics Using JMP

Overview - 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.  Read more...

In Stock.

This item is Non-Returnable.
FREE Shipping for Club Members

> Check In-Store Availability

In-Store pricing may vary

New & Used Marketplace 15 copies from \$3.99

More About Elementary Statistics Using JMP by Sandra D. Schlotzhauer

Overview
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.

This item is Non-Returnable.

Details
• ISBN-13: 9781599943756
• ISBN-10: 1599943751
• Publisher: SAS Institute
• Publish Date: April 2007
• Page Count: 458
• Dimensions: 8.93 x 7.54 x 0.9 inches
• Shipping Weight: 1.75 pounds

Series: SAS Press

Related Categories

BAM Customer Reviews