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What is Understanding Hypothesis Testing Basics about?
The hypothesis test compares a null hypothesis with an alternative hypothesis using sample data. The null hypothesis is the assumption that is being tested for rejection, while the alternative hypothesis is what is assumed if the null is false. The significance level determines the probability of incorrectly rejecting the null. Type I and II errors occur when the null is incorrectly rejected or accepted.
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