Hypothesis Testing

Jan Ubøe

Chapter 9 in Introductory Statistics for Business and Economics, 2017, pp 177-200 from Springer

Abstract: Abstract In this chapter we will study statistical testing of a hypothesis. Hypothesis testing has found widespread applications in many different fields. We can, e.g., ask if a poll confirms that voters have changed their opinion, or if a manager of mutual funds is performing systematically better than another. To test different hypotheses against each after, we need to make observations. From observations we can determine which hypothesis is more likely, but we can seldom draw a certain conclusion. The best we can achieve is to say that a hypothesis is most likely false. We sometimes have to settle with a conclusion stating that the observed difference is too small to decide which hypothesis is the better, i.e., we can’t say anything for sure.

Date: 2017
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DOI: 10.1007/978-3-319-70936-9_9

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