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If both type one and two errors are expensive, what would you do from a control...

If both type one and two errors are expensive, what would you do from a control perspective to minimize both types of errors?

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Answer #1

Type 1 can be lowered by using a low value for alpha, which means that you will be less likely to detect a true difference if one really exists and the type 1 error which happens because of When the null hypothesis is true and you reject it, will decreases.

Type 2 error can be controlled by ensuring your test has enough power to validate . Thiis can be done by ensuring your sample size is large enough to detect a practical difference if any things truly exists.

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