The alternate hypothesis, denoted as Ha, is a statement that contradicts or challenges the null hypothesis. It suggests that there is a significant relationship or difference between variables being studied.
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Null Hypothesis: The null hypothesis, denoted as H0, is the opposite of the alternate hypothesis. It states that there is no significant relationship or difference between variables being studied.
Type I Error: Type I error occurs when we reject the null hypothesis when it is actually true. It's like convicting an innocent person in our detective analogy.
Type II Error: Type II error occurs when we fail to reject the null hypothesis when it is actually false. It's like letting a guilty person go free in our detective analogy.