Section 5
Hypothesis Testing: One Sample
By Boundless
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Tests of significance are a statistical technology used for ascertaining the likelihood of empirical data, and (from there) for inferring a real effect.
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A statistical hypothesis test is a method of making decisions using data from a scientific study.
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The alternative hypothesis and the null hypothesis are the two rival hypotheses that are compared by a statistical hypothesis test.
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If the result of a hypothesis test does not correspond with reality, then an error has occurred.
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If a test of significance gives a
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A one-tailed hypothesis is one in which the value of a parameter is either above or equal to a certain value or below or equal to a certain value.
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Creating a hypothesis test generally follows a five-step procedure.
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Here we will evaluate an example of hypothesis testing for a single proportion.
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In this section we will evaluate an example of hypothesis testing for a single mean.
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In this section we will evaluate an example of hypothesis testing for a single variance.