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Choosing value of alpha levels

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Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., 0.01)? What are some situations in which you might accept a higher level (e.g., 0.1)?

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It depends on the purpose of our research.

Suppose that we are conducting a research for testing mean scores of two groups. The null hypothesis is u1=u2 and alternative hypothesis is u1>u2. Then we collect the data and choose correct distribution in order to ...

Solution Summary

The solution discusses two conditions: the time that we might want a lower alpha level and the time that we might want a higher alpha level.

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Selecting the appropriate alpha level

Type I error is used in selecting the appropriate alpha level. Based on your understanding, why is Type I error more important than Type II error in selecting the appropriate alpha level?

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