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Published online by Cambridge University Press: 13 December 2024
We begin this chapter with a review of hypothesis testing from Chapter 12. A hypothesis is a statement about one or more parameters of a model. The null hypothesis is usually a specific statement that encapsulates “no effect.” For example, if we apply one of the two treatments, A or B, to volunteers we may be interested in testing whether the population mean outcomes are equal.
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