Practical Analysis of Nutritional Data

This online textbook provides information on the statistical analysis of nutritional data. Techniques covered include data cleaning, descriptive statistics, histograms, graphics, scatterplots, outlier identification, regression and correlation, confounding, and interactions. Each chapter includes exercises with real data and self-tests to be used with SPSS.
Alternate Title: 
PANDA
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Author Name: 
John Mason, Kari Gillenwater, Rena Pugh, Eric Kenefik, Greg Collins, Meri Whitaker, David Volk.
Source Code Available: 
Source Code Available
Intended User Role: 
Learner, Teacher
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Yes
Cost: 
Free for All

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