Advertisements
Advertisements
प्रश्न
In a distribution 30% of the items are under 50 and 10% are over 86. Find the mean and standard deviation of the distribution
Advertisements
उत्तर

z = `(x - mu)/sigma`
Given that
P(X < 50) = 0.3
P(X > 86) = 0.1
P(X < – c) = 0.3
P(– c < z < 0) = 0.5 – 0.3
P(– c < z < 0) = 0.2 .....{From the table}
P(0 < z < c) = 0.2
c = 0.53
Then – c = – 0.53
∴ `(50 - mu)/sigma` = – 0.53
50 – µ = -0.53σ
µ – 0.53, σ = 50 → 1
P(X < 50) = 0.1
P(0 < z < ∞) = – P(0 < z < c1) = 0.1
P(0 < z < ∞) = P(0 < z < c1) + 0.1
0.5 = P(0 < z < c1) + 0.1
P(0 < z < c1) = 0.5 – 0.1
P = (0 < z < c1) = 0.4
c1 = 1.29
∴ `(86 - mu)/sigma` = 1.29
86 – µ = 1.29 σ
µ + 1.29σ = 86 → 2
Solving eqn 1 & 2
Equation 2 ⇒ m + 1.2 σ = 86
Equation 1 ⇒ m + 0.53 σ = 50
– + – ………….
………… 1.82 ………… σ = 36 ………….
σ = `36/1.82`
∴ = 19.78
Substitute σ = 19.78 in equation 1
µ – 0.53(19.78) = 50
µ – 10.48 = 50
µ = 50 + 10.48
µ = 60.48
Mean = 60.48 and standard deviation = 19.78
APPEARS IN
संबंधित प्रश्न
Define Bernoulli trials
Out of 750 families with 4 children each, how many families would be expected to have atleast one boy
Forty percent of business travellers carry a laptop. In a sample of 15 business travelers, what is the probability that 3 will have a laptop?
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
Define Normal distribution
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:
In a large statistics class, the heights of the students are normally distributed with a mean of 172 cm and a variance of 25 cm. What proportion of students is between 165cm and 181 cm in height?
Choose the correct alternative:
If the area to the left of a value of z (z has a standard normal distribution) is 0.0793, what is the value of z?
Choose the correct alternative:
In a binomial distribution, the probability of success is twice as that of failure. Then out of 4 trials, the probability of no success is
The time taken to assemble a car in a certain plant is a random variable having a normal distribution of 20 hours and a standard deviation of 2 hours. What is the probability that a car can be assembled at this plant in a period of time. Less than 19.5 hours?
