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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.
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Date Of Record Creation 2006-03-09 22:19:00
Date Last Modified 2013-01-31 15:06:00
Date Of Record Release 2006-03-12 19:20:00
Alternate Title PANDA
Resource Type
Audience
Format
Author Name John Mason, Kari Gillenwater, Rena Pugh, Eric Kenefik, Greg Collins, Meri Whitaker, David Volk.
Author Organization Tulane University
Source Code Available On
Material Type
Statistical Topic
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Cost
Intended User Role
Math Level

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