Determining Type I Error
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When you are using statistics to decide between two hypothesis, I believe that you have to allow for the possibility of error. You have committed a Type one error if you have rejected the hypothesis tested when it was true. A type I error occurs when one rejects the null hypothesis when it is true, and a type II error occurs when one rejects the alternative hypothesis when the alternative hypothesis is true.
How will you know when you've had a Type I error?
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Solution Summary
The solution discusses how to determine a type I error during a hypothesis test.
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When you are using statistics to decide between two hypotheses, I believe that you have to allow for the possibility of error. You have committed a Type one error if you have rejected the hypothesis tested when it was true. A type I error occurs when one rejects the null hypothesis when it is true, and a type II error occurs when one rejects the alternative hypothesis when the alternative hypothesis is true.
How will you know when you've had a ...
Purchase this Solution
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