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Tests Conducted After an Advertisement Has Been Shown to the Target

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Tests conducted after an advertisement has been shown to the target audience to determine whether an ad accomplished its intended purpose are referred to as


Definitions:

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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