Identify the type I error and the type II error that is a hypothesis. The percentage of households with more than 1 pet is equal to 65%
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In this hypothesis, the type I error refers to rejecting the null hypothesis when it is actually true. In this case, it would mean concluding that the percentage of households with more than 1 pet is not equal to 65% when it is actually 65%.
The type II error, on the other hand, refers to accepting the null hypothesis when it is actually false. Specifically, it would mean failing to conclude that the percentage of households with more than 1 pet is not equal to 65% when it is actually different from 65%.