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There are three primary variations of the $$t$$-test, each suited for slightly different research designs: the one-sample $$t$$-test, the dependent-samples $$t$$-test, and the independent-samples $$t$$-test.

Types of $$t$$-Tests

The one-sample $$t$$-test is a statistical procedure used to compare a sample mean ($$M$$) against a hypothetical population mean ($$\mu_0$$). It is used to evaluate whether the sample likely comes from a population with that specific mean.

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