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A matrix structure is characterized by poor customer service.
Type I Error
The error that occurs when the null hypothesis is incorrectly rejected, falsely indicating a significant effect.
Type II Error
Occurs when a false null hypothesis is not rejected, meaning an effect or difference is missed in the analysis.
Null Hypothesis
A default hypothesis that there is no significant difference or effect, used as the basis for statistical testing.
Type I Error
The incorrect rejection of a true null hypothesis, often denoted as a false positive.
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