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Hypothesis Testing) - Coggle Diagram
Hypothesis Testing)
Statistical procedure that allows researchers to use sample data to draw inferences about the population of interest.
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First, we state a hypothesis about a population
Before we select a sample, we use the hypothesis to describe what values we should expect for the sample mean, if the hypothesis is really true
Next, we obtain a random sample from the population
Finally, we compare the obtained sample data with the prediction that was made from the hypothesis
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the z-Score Statistic
The z-score formula, like any formula, can be viewed as a recipe.
In the hypothesis-testing situation, however, you do not have all the necessary ingredients. Specifically, you do not know the value for the population mean
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directional hypothesis test, or a one-tailed test
nondirectional, or two-tailed, test
effect size
A measure of effect size is intended to provide a measurement of the absolute magnitude of a treatment effect,
power
The power of a statistical test is the probability that the test will correctly reject a false null hypothesis.