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The United Way of Greater Toronto (UWGT) , like many charities, was sitting on a gold mine of donor data. Unfortunately, UWGT was not certain how to use that information to its greatest advantage. UWGT could blanket past donors with generic mailings, but it could not offer donors information that would convince them to donate to UWGT over other charities. Which of the following tools would be most useful for the nonprofit organization to use?
Type I Error
A statistical error made by rejecting the null hypothesis when it is actually true, known as a false positive.
Type II Error
The failure to reject a false null hypothesis, also known as a "false negative."
Null Hypothesis
A statement positing that there is no significant difference or effect, serving as the default assumption in hypothesis testing.
Type II Error
The error that occurs when a false null hypothesis is not rejected, also known as a "false negative."
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