document.write( "Question 1194872: The records of a light bulb manufacturer show that, when the manufacturing machinery is working correctly, the defect rate (due to imperfections in the material used) is 1%. The manufacturer's control department periodically tests samples of the bulbs, and when 1.5% or more are defective, they call repair technicians for service.
\n" ); document.write( "The control department is going to take a random sample of 4400 light bulbs. Let be the proportion of defective light bulbs in the sample assuming the machinery is working correctly.\r
\n" ); document.write( "\n" ); document.write( "(a)Find the mean of p̂.\r
\n" ); document.write( "\n" ); document.write( "(b)Find the standard deviation of p̂.\r
\n" ); document.write( "\n" ); document.write( "(c)Compute an approximation for P(p̂ >0.015), which is the probability that, assuming the machinery is working correctly, the repair technicians will be called. Round your answer to four decimal places.\r
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Algebra.Com's Answer #827161 by Boreal(15235)\"\" \"About 
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4400*0.01=44=np units number of bulbs
\n" ); document.write( "the variance is np(1-p)=44*0.99=43.56 units # of bulbs^2
\n" ); document.write( "the sd is sqrt(43.56)=6.6 units number of bulbs
\n" ); document.write( "for 0.015% or 66 bulbs, an approximation would be z>(66.5-44)/6.6=3.41. I use 66.5 because of the continuity correction factor, and the number has to be greater than 66.
\n" ); document.write( "probability z>3.41 is 0.0003
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