How would the two concepts affect the way people form


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What is the Type I Error? What is the Type II Error? How would these two concepts affect the way people form a null hypothesis versus an alternative hypothesis? Provide a real world example to demonstrate how you would set up the null and the alternative hypothesis to reach a conclusion. (Hint: Statistically, one can only reject a null hypothesis, but cannot accept one. For this reason, the right way to set up hypothesis testing is to put/state your conclusion or what you want to prove in the alternative rather than the null hypothesis.)

The response should include a reference list. Using double-space, Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.

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Applied Statistics: How would the two concepts affect the way people form
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