How can you use effect size to interpret the results of a hypothesis test?
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Hypothesis testing is a method for deciding whether to accept or reject a claim about a population based on sample data and a calculated p-value.
Effect size helps you understand how strong or meaningful the results of a hypothesis test are by showing the size of the difference or relationship, not just whether it's statistically significant.
Compare the effect sizes of the different hypothesis tests to see which hypothesis test gives us the greatest effect size or the least effect size.
to compare and see which hypothesis test gives the greatest effect size