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Sandra Schlotzhauer

About Sandra Schlotzhauer

author photo Sandra Schlotzhauer provides consulting and training services, focusing on the biopharmaceutical industry. She started Schlotzhauer Consulting LLC after fifteen years of experience in the software, pharmaceutical, and aerospace industries. Sandra received her B.S. and M.S. degrees 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 develops custom JMP courses using client data, and also teaches client-developed courses. In this book, Sandra 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 conclusions based on data. Sandra is also the co-author of SAS System for Elementary Statistical Analysis.
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STC logo 2007-2008 Society for Technical Communication, Carolina Chapter: Technical Publications Competition

Distinguished Award - Software Guides
Elementary Statistics Using JMP

2007-2008 Society for Technical Communication, International: Technical Publications Competition

Award of Merit - Software Guides
Elementary Statistics Using JMP

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coming soon Elementary Statistics Using SAS
Anticipated publication date: Winter 2010

Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The remaining sections of the book show analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, author Sandra Schlotzhauer explains assumptions, statistical approach, SAS procedures, statements, and options and makes conclusions from the results. Statistical methods covered include two-sample t-tests, paired-difference t-tests, analysis of variance, multiple comparison techniques, regression, regression diagnostics, and chi-square tests. Nonparametric methods such as Kruskal-Wallis and Wilcoxon tests are also discussed.

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By This Author

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SAS System for Elementary Statistical Analysis, Second Edition

Co-authors: Sandra Schlotzhauer and Ramon Littell

Sample Chapter (PDF) Example Code and Data Buy now

Elementary Statistics Using JMP

Sample Chapter (PDF) Example Code and Data Buy now