A factory wishes to estimate the probability of producing a defective item. Out of a daily production of 1,000 items it is found that 12 are defective. Estimate the true probablity of producign a...


A factory wishes to estimate the probability of producing a defective item. Out of a daily production of 1,000 items it is found<br>that 12 are defective. Estimate the true probablity of producign a defective item with a 95% confidence upper bound. Use the<br>plug-in normal approximation method for binomial proportion.<br>Answer accuracy to the nearest whole number.<br>

Extracted text: A factory wishes to estimate the probability of producing a defective item. Out of a daily production of 1,000 items it is found that 12 are defective. Estimate the true probablity of producign a defective item with a 95% confidence upper bound. Use the plug-in normal approximation method for binomial proportion. Answer accuracy to the nearest whole number.

Jun 08, 2022
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