# Power Curve for One Proportion (Attribute Binomial Distribution)

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Lucas
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Can anyone please clarify binomial analysis output data? If one sample size has a confidence of 0.9 and significance 0.91 for a hypothesized p (% defective) then MTab “Power & Sample Size for 1 Proportion” tool provides 2 output as below (alt. hypothesis = greater than):
Testing p Comparison p Size Power Actual Power
0.0027 0.01 84 0.91 0.910006
Testing p Comparison p Size Power Actual Power
0.000063 0.01 154 0.91 0.910136

Q?: If my sample of 84 pieces has no defect . . . Can I claim Confidence @ 0.90 for 0.0027 defects? . . . or Can I claim Confidence @ 0.90 for 0.01 defects? Is there a 10% probability that actual conditions are 0.01 or greater? If one defective is found . . . what is the lowest possible defect rate?

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