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9.3: Outcomes and the Type I and Type II Errors
https://stats.libretexts.org/Courses/Los_Angeles_City_College/Introductory_Statistics/09%3A_Hypothesis_Testing_with_One_Sample/9.03%3A_Outcomes_and_the_Type_I_and_Type_II_Errors
In every hypothesis test, the outcomes are dependent on a correct interpretation of the data. Incorrect calculations or misunderstood summary statistics can yield errors that affect the results. A Typ...In every hypothesis test, the outcomes are dependent on a correct interpretation of the data. Incorrect calculations or misunderstood summary statistics can yield errors that affect the results. A Type I error occurs when a true null hypothesis is rejected. A Type II error occurs when a false null hypothesis is not rejected.

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