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Hypothesis
one-sample t test is used when we want to know whether our sample comes from a particular population but we do not have full population information available to us. For instance, we may want to know if a particular sample of college students is similar to or different from college students in general. The one-sample t test is used only for tests of the sample mean. Thus, our hypothesis tests whether the average of our sample (μ) suggests that our students come from a population with a known mean (μ) or whether it comes from a different population.
The statistical hypotheses for one-sample t test take one of the following forms, depending on whether your research hypothesis is directional or nondirectional. In the equations below, μ1 refers to the population from which the study sample was drawn; μ is replaced by the actual value of the population mean. The statistical hypotheses are identical to those used for one-sample Z tests.
Make the statistical hypothesis section the same form as the one-sample z test page.
Write out the form of each hypothesis when the population mean (M) equals 1.27.
Write answer beside formulas phonetically.
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