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A lab scientist is attempting to develop a screening tool that will detect leukemia before children...

A lab scientist is attempting to develop a screening tool that will detect leukemia before children show any symptoms of the disease, because it is most curable in its early stages. The scientist wants a test that will detect all children, whether or not it produces some false positives. What does the researcher want in terms of that new screening tool?

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In this case, we are ok with false positives, which means that we will reject null hypothesis even though it is TRUE. i.e. falsely rejecting null hypothesis even though its true.

This is a case of Type 1 error, in true terms. i.e. The researcher wants a screening tool which gives a High Type 1 error ie. researcher is ok with a tool with high type 1 error.

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