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Question 15 1 pts A while a effect error refers to finding an effect when there really is no effect error refers to not findi
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Answer) Type 1 and Type 2

In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion).

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