Advertisements
Advertisements
प्रश्न
Assuming that a fatal accident in a factory during the year is 1/1200, calculate the probability that in a factory employing 300 workers there will be at least two fatal accidents in a year, (given e-0.25 = 0.7788).
Advertisements
उत्तर
Let p be the probability of a fatal accident in a factory during the year
p = `1/1200` and n = 300
λ = np = `300 xx 1/200 = 1/4`
λ = 0.25
x follows poison distribution with
P(x) = `("e"^(-lambda) lambda^x)/(x!) + ("e"^(-0.25)(0.25))/(x!)`
P(atleasttwo fatal accidents) = P(X ≥ 2)
= P(X = 2) + P(X = 3) + P(X = 3) + P(X = 4) + ……….
= 1 – P(X < 2)
= 1 – {P(X = 0) + P(X = 1)}
= `1 - {("e"^(-0.25) (0.25)^0)/(0!) + ("e"^(-0.25)(0.25)^0)/(1!)}`
= `1 - "e"^(-0.25) {(0.25)^0/(0!) + (0.25)^1/(1!)}`
= 1 – 0.7788 [1 + 0.25]
= 1 – 0.7788(1.25)
= 1 – 0.9735 = 0.0265
∴ P(X ≥ 2) = 0.0265
APPEARS IN
संबंधित प्रश्न
Out of 750 families with 4 children each, how many families would be expected to have children of both sexes? Assume equal probabilities for boys and girls.
Mention the properties of poisson distribution
The mortality rate for a certain disease is 7 in 1000. What is the probability for just 2 deaths on account of this disease in a group of 400? [Given e–2.8 = 0.06]
It is given that 5% of the electric bulbs manufactured by a company are defective. Using poisson distribution find the probability that a sample of 120 bulbs will contain no defective bulb
The average number of phone calls per minute into the switchboard of a company between 10.00 am and 2.30 pm is 2.5. Find the probability that during one particular minute there will be no phone at all
The distribution of the number of road accidents per day in a city is poisson with mean 4. Find the number of days out of 100 days when there will be at most 3 accidents
Choose the correct alternative:
Normal distribution was invented by
Choose the correct alternative:
The parameters of the normal distribution f(x) = `(1/sqrt(72pi))"e"^(-(x - 10)^2)/72 - oo < x < oo`
A manufacturer of metal pistons finds that on the average, 12% of his pistons are rejected because they are either oversize or undersize. What is the probability that a batch of 10 pistons will contain at least 2 rejects?
X is a normally distributed variable with mean µ = 30 and standard deviation σ = 4. Find P(X > 21)
