10.16 I FUNDAMENTALS OF BUSINESS MATHEMATICS AND STATISTICSTheoretical Distribution
Using the formula for Poisson distribution, the probability of x defective blades is() 0.02()0.02
!e x
px= xThe frequencies of 0, 1, 2, 3 defective blades given by( ) 1,00,000 0.02()0.20
!e x
fx x X−
=Number of packets with no defective blade
= 1,00,000 × e–0.02 = 1,00,000 × 0.9802
= 98,020
Number of packets with one defective bladesP(1) =
0.02().02
!
e− x= 1,00,000 × e–0.02 × 0.02
= 98,020 × .02= 98,020 × 1002
= 1960.4
= 1960
Number of packets with two defective blades is= 1,00,000 × e–0.02×(0.02) 2
= 98020 × .0002
= 19.6040
= 20
Example 17 :
It is known from past experience that in a certain plant there are on the average 4 industrial accidents per
month. Find the probability that in a given year there will be less than 4 aecident. Assume Poisson distribution.
Solution :
m= 4p(x = r) =(^44)
!!
em emr r
r r
−−
The required probability that there will be less than 4 accidents is given as :
p(x<4) = p(x = 0) + p(x = 1)+ p(x = 2) + p(x = 3)