The alternative 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 alternative hypothesis. It assumes that any observed differences or relationships are due to random chance.
Type I Error: A type I error occurs when we reject the null hypothesis when it is actually true. In other words, we mistakenly conclude there is an effect or relationship when there isn't one.
Type II Error: A type II error occurs when we fail to reject the null hypothesis when it is actually false. In other words, we miss detecting an effect or relationship that truly exists.