document.write( "Question 1186632: Dawson's Repair Service orders parts from an electronic company, which advertises its parts to be no more than 11% defective. What is the probability that Bill Dawson finds 12 or more parts out of a sample of 100 to be defective? \n" ); document.write( "
Algebra.Com's Answer #817555 by Boreal(15235)![]() ![]() You can put this solution on YOUR website! Find the probability that 11, 10, 9,... are defective. \n" ); document.write( "This can be done using the binomial distribution. \n" ); document.write( "for 11 it is 100C11*.11^11*.89^89=0.1265 \n" ); document.write( "for 10 it is 100C10*.11^10*.89^90=0.1251 \n" ); document.write( "for 9 it is 0.1112 \n" ); document.write( "for 8 it is 0.0881 \n" ); document.write( "for 7, 0.0613 \n" ); document.write( "etc. down to 0 \n" ); document.write( "OR, can do binomcdf(100,.11,11) which will get everything from the left side to 11. That probability is 0.5794. \n" ); document.write( "The answer is the complement or 1-0.5794=0.4206. (Also 1-binomcdf(100,0.11,11)) \n" ); document.write( "- \n" ); document.write( "can check with normal approximation \n" ); document.write( "np=11 \n" ); document.write( "np(1-p)=V=11(.89)=9.79 \n" ); document.write( "sqrt(V)=sd=3.13 \n" ); document.write( "z > (11.5-11)/3.13, with continuity correction factor >0.5/3.13 or 0.16. That probability is 0.4364, which is a reasonable approximation of the actual answer. \n" ); document.write( " \n" ); document.write( " |