# Statistics

1) A null Hypothesis assumes that a process is producing no more than a maximum allowable rate of defective items. The Type II error is to conclude that the process?

2) If 95% confidence limits for the mean Mu turn out to be (6.5,8.5)

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Type II error is failing to reject a false null hypothesis (also known as a "false negative" finding).

Confused by "(6.5,8.5)." If 8.5 = standard deviation, over 16% will be in the negative area.

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2. bruh this was the first everq uestion on jishka , posteddd on june something 2005

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3. lol @frankly frank your right , i just looked on that thread

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4. lol same. I just posted there XD

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