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Hypothesis Testing: Type I and Type II errors
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In this video, we discuss the four possible outcomes of a hypothesis test in statistics. During this discussion, we define the type I and type II errors.
Dane McGuckian (STATSprofessor)
explain the meaning of a type i error and a type ii error
type i error and type ii error examples
type i error and type ii error in testing hypotheses
difference between type i error and type ii error
Type I and Type II errors
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