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Discuss segmented audience.What drives this type of specialized audience?
Type I Error
The error that occurs when a null hypothesis is incorrectly rejected when it is actually true, often referred to as a "false positive."
Type II Error
The statistical mistake of failing to reject a false null hypothesis. It's also known as the error of accepting a false negative result.
Type I Error
Incorrectly refuting a correct null hypothesis, also labeled as a "false positive."
Null Hypothesis
A hypothesis stating there is no significant difference or effect, used as a starting point for statistical testing.
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