Advertisements
Advertisements
प्रश्न
An experiment succeeds twice as often as it fails, what is the probability that in next five trials there will be at least three successes
Advertisements
उत्तर
Success = 2 × fails
p = 2q
⇒ p = 2(1 – p)
p = 2 – 2p
⇒ p + 2p = 2
3p = 2 and p = `2/3`
q = 1 – p = `1 – 2/3`
q = `1/3` and n = 5
The binomial destribution is
P(X = x) = nCxpxqn-x
= `5"C"(2/3)^x (1/3)`
P(atleast three success)
= P(X ≥ 3)
= P(X = 3) + P(X = 4) + P(X = 5)
= `80/243 + 5"c"_4 (2/3)^4 + (1/3)^(5 - 4) + 5"c"_5 (2/5)^5 (1/3)^(5 - 5)`
= `80/243 + 5"C"_1 (16/81)(1/3) + 5"c"_0 (32/243)(1/3)^0`
= `80/243 + 80/243 + 32/243`
= `(80 + 80 + 32)/243`
= `192/243`
APPEARS IN
संबंधित प्रश्न
If 18% of the bolts produced by a machine are defective, determine the probability that out of the 4 bolts chosen at random exactly one will be defective
Out of 750 families with 4 children each, how many families would be expected to have atmost 2 girls
Determine the binomial distribution for which the mean is 4 and variance 3. Also find P(X=15)
Write any 2 examples for Poisson 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 atleast 5 calls
In a test on 2,000 electric bulbs, it was found that bulbs of a particular make, was normally distributed with an average life of 2,040 hours and standard deviation of 60 hours. Estimate the number of bulbs likely to burn for more than 2,150 hours
In a test on 2,000 electric bulbs, it was found that bulbs of a particular make, was normally distributed with an average life of 2,040 hours and standard deviation of 60 hours. Estimate the number of bulbs likely to burn for less than 1,950 hours
Choose the correct alternative:
If X ~ N(9, 81) the standard normal variate Z will be
Choose the correct alternative:
If X ~ N(µ, σ2), the maximum probability at the point of inflexion of normal distribution
Choose the correct alternative:
Which of the following statements is/are true regarding the normal distribution curve?
