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Type II Error
The error that occurs when the null hypothesis is not rejected when it is actually false, also known as a false negative result.
Type I Error
Mistakenly refusing a true null hypothesis, popularly known as a "false positive."
Nominal Data
Data that are categorized into distinct groups without implying any ranked order among them.
Confidence Level
The probability, expressed as a percentage, that the result of an experiment or study will fall within a specified range of values.
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