Advertisements
Advertisements
प्रश्न
If 5% of the items produced turn out to be defective, then find out the probability that out of 20 items selected at random there are exactly 4 defectives
Advertisements
उत्तर
Probability of getting a defective item
p = `5/100 = 1/20`
q = 1 – p
⇒ q = `1 - 1/20`
= `(20 - 1)/20`
q = `19/20` and n = 10
In binomial distribution
P(X = x) = nCxpxqn-x
Here (X = x)= `10"C"_x (1/20)^x (19/20)(10 - x)`
p(extactly 4 defectives) = p(X = 4)
= `10"c"_4 (1/20)^4 (9/20)^(10- 4)`
= `(10 xx 9 xx 8 xx 7)/(1 xx 2 xx 3 xx 4) xx (1/20)^4 (129/20)^6`
= `210 xx (19)^6/(20)^10`
= `(210 xx 4.648 xx 10^7)/(1.023 xx 10^3)`
= `(210 xx 4.648)/(1.023 xx 10^6)`
= `(210 xx 4.648)/1023000`
= `976.08/1023000`
= 0.000954
Let x = (19)6
log x = 6 log 19
= 6 × 1.2788
log x = 7.66728
Anti log (7.66728)
x = 4.648 × 107
APPEARS IN
संबंधित प्रश्न
Assume that a drug causes a serious side effect at a rate of three patients per one hundred. What is the probability that atleast one person will have side effects in a random sample of ten patients taking the drug?
Write any 2 examples for Poisson distribution
Write the conditions for which the poisson distribution is a limiting case of binomial distribution
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 exactly 3 calls
Write down the conditions in which the Normal distribution is a limiting case of binomial distribution
Choose the correct alternative:
If for a binomial distribution b(n, p) mean = 4 and variance = 4/3, the probability, P(X ≥ 5) is equal to
Choose the correct alternative:
Which of the following cannot generate a Poisson distribution?
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?
Hospital records show that of patients suffering from a certain disease 75% die of it. What is the probability that of 6 randomly selected patients, 4 will recover?
X is a normally distributed variable with mean µ = 30 and standard deviation σ = 4. Find P(X < 40)
