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September 1, 2014

September 1, 2014

Posted by **Shon** on Monday, September 13, 2010 at 1:16pm.

null and alternative hypotheses. (b) Define Type I and II error. What are the consequences of each?

(c) Which is more to be feared, and by whom? (d) If the hotel decides to reduce â risk, what would

be the consequences? Who would be affected?

- statistics -
**MathGuru**, Monday, September 13, 2010 at 10:02pmI'll give you some background on Type I and Type II errors and let you take it from there.

Type I errors result when you reject the null and it's true. Type II errors result when you accept the null and it's false. You can reduce Type I errors by setting the alpha at a lower level, for example, from .05 to .01. However, when you do that, you increase the probability of making a Type II error. You would have to determine if the hotel would be more concerned about Type I or Type II errors.

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