document.write( "Question 1022899: THE MEAN NUMBER OF DEFECTIVE PRODUCTS PRODUCED IN A FACTORY IN ONE DAY IS 21.WHAT IS THE PROBABILITY THAT IN A SPAN OF 3 DAYS THERE WILL BE MORE THAN 58 BUT LESS THAN 64 DEFECTIVE PRODUCTS \n" ); document.write( "
Algebra.Com's Answer #638489 by mathmate(429)![]() ![]() You can put this solution on YOUR website! \n" ); document.write( "Question: \n" ); document.write( "THE MEAN NUMBER OF DEFECTIVE PRODUCTS PRODUCED IN A FACTORY IN ONE DAY IS 21.WHAT IS THE PROBABILITY THAT IN A SPAN OF 3 DAYS THERE WILL BE MORE THAN 58 BUT LESS THAN 64 DEFECTIVE PRODUCTS \n" ); document.write( " \n" ); document.write( "Solution: \n" ); document.write( "Assuming the number of defective products of each day is independent of previous days, the Poisson distribution may be used to model this situation. \n" ); document.write( "Average number of defects in 3 days = 3*21=63=λ. \n" ); document.write( "P(k;λ)=λ^k*e^(-λ)/k! \n" ); document.write( "We need to calculate \n" ); document.write( "P(58 \n" ); document.write( "=0.2432\r \n" ); document.write( "\n" ); document.write( " |