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This chapter introduces hypothesis tests and describes the use of the two‐sample t‐test to determine whether there is a real difference in a measured (interval scale) endpoint between two sets of observations. The data in each sample are assumed to be from populations that followed normal distributions and had equal SDs. It describes null and alternative hypotheses and the use of the two‐sample t‐test...
This paper proposes a new statistical technique for deciding which of two theories is better supported by a given set of data while allowing for the possibility of drawing no conclusion at all. Procedurally similar to the classical hypothesis test, the proposed technique features three, as opposed to two, mutually exclusive data classifications: reject the null, reject the alternative, and no decision...
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