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Exhibit 20-3
-Refer to Exhibit 20-3.If price increases from $2.50 to $3.50,total revenue along the demand curve
Type I Error
The probability of rejecting the null hypothesis when it is actually true, also known as a false positive.
Type II Error
A statistical mistake of failing to reject a false null hypothesis; also known as a false negative.
1 - β
The power of a statistical test, representing the probability of correctly rejecting the null hypothesis when it is false.
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