Advertisements
Advertisements
Question
The mean of a binomial distribution is 5 and standard deviation is 2. Determine the distribution
Solution
In a binomial distribution
Mean np = 5 → (1)
Standard deviation `sqrt("npq")` = 2
Squaring on body sides
npq = 4 → (2)
Equation ÷ Equation
⇒ `"npq"/"np" = 4/5`
∴ q = `4/5`, p = `1 - "q"`
= `1 - 4/5 = (5 - 4)/5`
p = `1/5`
Substitute p = `1/5` in equation (1)
`"n"(1/5)` = 5
n = 5 × 5
⇒ n = 25
∴ The binomial distribution is
P(X = x) = ncxpxqn-x
i.e P(X = x) = `[(25),(x)] (1/5)^x (4/5)^(25 - x)`
APPEARS IN
RELATED QUESTIONS
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
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 atleast 5 calls
The average number of customers, who appear in a counter of a certain bank per minute is two. Find the probability that during a given minute three or more customers appear
Write down any five chief characteristics of Normal probability curve
If the heights of 500 students are normally distributed with mean 68.0 inches and standard deviation 3.0 inches, how many students have height less than or equal to 64 inches
Choose the correct alternative:
If Z is a standard normal variate, the proportion of items lying between Z = – 0.5 and Z = – 3.0 is
Choose the correct alternative:
In a parametric distribution the mean is equal to variance is
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 annual salaries of employees in a large company are approximately normally distributed with a mean of $50,000 and a standard deviation of $20,000. What percent of people earn between $45,000 and $65,000?