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There are two types of errors associated with hypothesis testing. Type I error occurs when the null hypothesis is rejected when it is true. Type II error occurs when the null hypothesis is not rejected when it is false.
H0 is referred to as the null hypothesis and Ha (or H1) is referred to as the alternative hypothesis.
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