01:960:201 Lecture Notes - Lecture 7: Null Hypothesis
21 Jul 2016
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Document Summary
When we set = . 05, it means we require that our data occur less than 5% of the time by pure chance alone assuming ho is true. If p is greater than , then we fail to reject ho. If p is less than , then we reject ho. There (is/is not) enough evidence at the significance level = (#) to justify rejecting ho. If ho is true, we should fail to reject ho. A type i error occurs when ho is true, but ho is rejected. If ho is not true, we should reject ho. A type ii error occurs when ho is not true, but ho is not rejected. Sample distribution of (p-hat1 p-hat2) = ((p1q1)/n1) + ((p2q2)/n2) Ha: parameter (greater than, not equal to, or less than) value. Was the p-value greater than, not equal to, equal to, or less than the alpha value.
