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Type II error
noun
- the error made in the statistical testing of a hypothesis by accepting the null hypothesis when it is actually false.
type II error
noun
- statistics the error of not rejecting the null hypothesis when it is false. The probability of avoiding such an error is the power of the test and is a function of the alternative hypothesis
Example Sentences
A potential breakthrough on Duchenne is a reminder that a Type II error—rejecting a drug that should have been approved—carries risks beyond one drug.
A Type I error occurs when a true hypothesis is rejected, and a Type II error occurs when a false hypothesis is accepted.
Thus, if a large number of Corvettes from a car show drove through the region and we therefore accepted the false assumption that at least 15 percent of the cars in the region were Corvettes, we would be making a Type II error.
The equal and opposite misstep, a Type II error, involves attributing a true relationship to chance.
In the 20th century it was believed that a Type I error was worse than a Type II error.
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