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( "
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\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
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\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( "=0.04555+0.04783+0.04940+0.05020+0.05020
\n" ); document.write( "=0.2432\r
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