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If you were to perform a well executed research study with a sample that is large utilizing a random sampling method and did everything correctly
- If you were to perform a well executed research study with a sample that is large utilizing a random sampling method and did everything correctly (including accurate data), you could still end up with a type I or type II error. Why?
- In order to properly define a demonstrate I or type II error in a study, you need to accurately define the null and alternative hypothesis. Why?
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