Posted on 2007-10-31. By anonymous.
Learn how to perform basic statistical analyses using the powerful JMP
software. This reader-friendly guide 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. 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.
Download (5.13 Mb):
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