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6. Hypothesis Testing & ANOVA

  • 2018
  • OriginalPaper
  • Chapter
Published in:
Authors
Erik Mooi
Marko Sarstedt
Irma Mooi-Reci
Published in
Market Research
Publisher
Springer Singapore

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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 Stata. The case study touches upon different test situations and helps you interpret the tables and graphics in a quick and meaningful way.

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previous chapter Descriptive Statistics
next chapter Regression Analysis
Title
Hypothesis Testing & ANOVA
Authors
Erik Mooi
Marko Sarstedt
Irma Mooi-Reci
Copyright Year
2018
Publisher
Springer Singapore
Book
Market Research

Print ISBN: 978-981-10-5217-0

Electronic ISBN: 978-981-10-5218-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-5218-7_6
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