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Identify Type I and Type II errors in cell phones

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Identifying Type I and II error that corresponds to the given hypothesis.

The percentage of households with at least two cell phones is less than 60%.

(i) Type I error (in the words of the problem):

(ii) Type II error (in the words of the problem):

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Solution Summary

The expert identifies the type I and type II errors in cell phones.

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When you make a Type I error, you're saying there's a significant effect when in fact there isn't. In other words, a Type I error is a false positive. In the example given in this question (assuming the ...

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