Examlex
Explain the common problems that international market researchers encounter.
Type I Error
The statistical mistake of rejecting a null hypothesis when it is actually true, also known as a "false positive".
Type II Error
The error that occurs when the null hypothesis is falsely not rejected, missing the detection of an actual effect.
Probability
A measure expressing the likelihood of a particular event or outcome occurring.
Two-tailed Test
A statistical test that considers the possibility of both directions of effect (greater than or less than), assessing the significance of a deviation in either direction from a null hypothesis.
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