Titlebook: R for Marketing Research and Analytics; Chris Chapman,Elea McDonnell Feit Textbook 2015 Springer International Publishing Switzerland 2015

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978-3-319-14435-1Springer International Publishing Switzerland 2015

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R for Marketing Research and Analytics978-3-319-14436-8Series ISSN 2197-5736 Series E-ISSN 2197-5744

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Describing Dataiation, and so forth) and visualization methods. Such investigation is the simplest analysis one can do yet also the most crucial. It is important to describe and explore any data set before moving on to more complex analysis. This chapter will build your R skills and provide a set of tools for exploring your own data.

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Comparing Groups: Statistical Testsestion, “It looks different, but is it really different?” This involves our first inferential statistical procedures: chi-square, .-tests, and analysis of variance (ANOVA). In the final section, we introduce a Bayesian approach to compare groups.

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