Type I & Type II Errors | Definition & Examples
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Type I & Type II Errors | Definition & Examples
Learn about type I and II errors. Understand how errors in hypothesis testing work, learn the characteristics of hypotheses and see type I and II errors examples.
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What are Type 1 and Type 2 Errors in Statistics?
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3. Type I and Type II errorsEvery time you conduct a hypothesis test, there are fourpossible outcomes of your decision to reject or not reject the nullhypothesis: (1) You don't reject the null hypothesis when it istrue, (2) you reject the null hypothesis when it is true, (3) youdon't reject the null hypothesis when it is false, and (4) youreject the null hypothesis when it is false.Consider the following analogy: You are a meat inspector for thecounty health department. For every batch of meat y
3. Type I and Type II errorsEvery time you conduct a hypothesis test, there are fourpossible outcomes of your decision to reject or not reject the nullhypothesis: (1) You don't reject the null hypothesis when it istrue, (2) you reject the null hypothesis when it is true, (3) youdon't reject the null hypothesis when it is false, and (4) youreject the null hypothesis when it is false.Consider the following analogy: You are a meat inspector for thecounty health department. For every batch of meat y
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simplypsychology.org
3. Type I and Type II errorsEvery time you conduct a hypothesis test, there are fourpossible outcomes of your decision to reject or not reject the nullhypothesis: (1) You don't reject the null hypothesis when it istrue, (2) you reject the null hypothesis when it is true, (3) youdon't reject the null hypothesis when it is false, and (4) youreject the null hypothesis when it is false.Consider the following analogy: You are a meat inspector for thecounty health department. For every batch of meat y
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