Hypothesis Testing & ANOVA

Marko Sarstedt and Erik Mooi
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Marko Sarstedt: Otto-von-Guericke-Universität
Erik Mooi: University of Melbourne

Chapter 6 in A Concise Guide to Market Research, 2014, pp 141-192 from Springer

Abstract: Learning Objectives After reading this chapter you should understand: The logic of hypothesis testing. The steps involved in hypothesis testing. What test statistics are. Types of error in hypothesis testing. Common types of t-tests, one-way and two-way ANOVA. How to interpret SPSS outputs.

Keywords: α-Inflation; Degrees of freedom; F-test; Familywise error rate; Independent and paired samples t-test; Kolmogorov–Smirnov-test; Levene’s test; Null and alternative hypothesis; One-sample and two-samples t-tests; One-tailed and two-tailed tests; One-way and two-way ANOVA; p-value; Parametric and nonparametric tests; Post hoc tests; Power of a test; Shapiro–Wilk test; Significance; Statistical significance; t-test; Type I and type II error; z-test (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-642-53965-7_6

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