Hypothesis Testing and ANOVA

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

Chapter 6 in A Concise Guide to Market Research, 2019, pp 151-208 from Springer

Abstract: Abstract We first describe the essentials of hypothesis testing and how testing helps make critical business decisions of statistical and practical significance. Without using difficult mathematical formulas, we discuss the steps involved in hypothesis testing, the types of errors that may occur, and provide strategies on how to best deal with these errors. We also discuss common types of test statistics and explain how to determine which type you should use in which specific situation. We explain that the test selection depends on the testing situation, the nature of the samples, the choice of test, and the region of rejection. Drawing on a case study, we show how to link hypothesis testing logic to empirics in SPSS. The case study touches upon different test situations and helps you interpret the tables and graphics in a quick and meaningful way.

Keywords: Analysis Of Variance (ANOVA); Sale Display; Between-group Mean Square (MSB); Mean Salary; Within-group Mean Square (MSW) (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-662-56707-4_6

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DOI: 10.1007/978-3-662-56707-4_6

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