Type II errors
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In terms of correctness of a study, I agree type one errors can be very important. With Type II errors there are more negative consequences if the result is wrong but assumed to be correct. Do you think that there would be significant consequences if the study were to be correct but assumed to be negative?
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Solution Summary
The expert explains the problem of Type II errors using an example. Significant consequences if negative are determined.
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A Type II error occurs when you say there's no significant effect of your treatment, when in fact there is, but you've missed it. There can be major negative consequences of such an error. For example, imagine that you've ...
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