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Devise a client scenario and discuss your process in helping the client resolve a specific problem.Include how you reached a particular practice decision in this case, when ethical principles were in conflict.
Type I Error
The mistake of rejecting a true null hypothesis, also known as a false positive.
Level of Significance
The threshold under which the null hypothesis is rejected in hypothesis testing, usually denoted by alpha.
Critical Value
A threshold or point on the test distribution that defines the boundary or limit for rejecting the null hypothesis in hypothesis testing.
Type II Error
A statistical error that occurs when a null hypothesis is not rejected when it is in fact false.
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