मराठी

Can the Mean of a Binomial Distribution Be Less than Its Variance? - Mathematics

Advertisements
Advertisements

प्रश्न

Can the mean of a binomial distribution be less than its variance?

 

उत्तर

No.
The mean of a binomial distribution is np and variance is npq.
If mean is less than its variance, then np <npq
As both n and p are positive, we can divide both sides by np.
We get 1<q, which is not true as q <1 under all circumstances. (As p+q=1, q cannot be greater than 1)
So, the mean of a binomial distribution cannot be less than its variance.

shaalaa.com
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 33: Binomial Distribution - Exercise 33.2 [पृष्ठ २५]

APPEARS IN

आरडी शर्मा Mathematics [English] Class 12
पाठ 33 Binomial Distribution
Exercise 33.2 | Q 1 | पृष्ठ २५

व्हिडिओ ट्यूटोरियलVIEW ALL [1]

संबंधित प्रश्‍न

The probability that a bomb will hit a target is 0.8. Find the probability that out of 10 bombs dropped, exactly 4 will hit the target.


On a multiple choice examination with three possible answers for each of the five questions, what is the probability that a candidate would get four or more correct answers just by guessing?


Find the probability of throwing at most 2 sixes in 6 throws of a single die.


In a hurdle race, a player has to cross 10 hurdles. The probability that he will clear each hurdle is 5/6 . What is the probability that he will knock down fewer than 2 hurdles?


A bag contains 7 red, 5 white and 8 black balls. If four balls are drawn one by one with replacement, what is the probability that none is white ?


A bag contains 10 balls, each marked with one of the digits from 0 to 9. If four balls are drawn successively with replacement from the bag, what is the probability that none is marked with the digit 0?


Suppose that 90% of people are right-handed. What is the probability that at most 6 of a random sample of 10 people are right-handed?


A man wins a rupee for head and loses a rupee for tail when a coin is tossed. Suppose that he tosses once and quits if he wins but tries once more if he loses on the first toss. Find the probability distribution of the number of rupees the man wins.


Five dice are thrown simultaneously. If the occurrence of 3, 4 or 5 in a single die is considered a success, find the probability of at least 3 successes.


The items produced by a company contain 10% defective items. Show that the probability of getting 2 defective items in a sample of 8 items is

\[\frac{28 \times 9^6}{{10}^8} .\]

 


Assume that the probability that a bomb dropped from an aeroplane will strike a certain target is 0.2. If 6 bombs are dropped, find the probability that at least 2 will strike the target

 

In a hospital, there are 20 kidney dialysis machines and the chance of any one of them to be out of service during a day is 0.02. Determine the probability that exactly 3 machines will be out of service on the same day.


How many times must a man toss a fair coin so that the probability of having at least one head is more than 80% ?


Find the probability that in 10 throws of a fair die, a score which is a multiple of 3 will be obtained in at least 8 of the throws. 


Determine the binomial distribution whose mean is 9 and variance 9/4.

 

The mean and variance of a binomial variate with parameters n and p are 16 and 8, respectively. Find P (X = 0), P (X = 1) and P (X ≥ 2).

 

Find the expected number of boys in a family with 8 children, assuming the sex distribution to be equally probable.


If the sum of the mean and variance of a binomial distribution for 6 trials is \[\frac{10}{3},\]  find the distribution.

 
 

A die is tossed twice. A 'success' is getting an even number on a toss. Find the variance of number of successes.     


A die is thrown three times. Let X be 'the number of twos seen'. Find the expectation of X.    


If the mean of a binomial distribution is 20 and its standard deviation is 4, find p.

 

If the mean and variance of a random variable X with a binomial distribution are 4 and 2 respectively, find P (X = 1).

 

If the mean and variance of a binomial distribution are 4 and 3, respectively, find the probability of no success.


If for a binomial distribution P (X = 1) = P (X = 2) = α, write P (X = 4) in terms of α.

 

An unbiased coin is tossed 4 times. Find the mean and variance of the number of heads obtained.   


In a box containing 100 bulbs, 10 are defective. What is the probability that out of a sample of 5 bulbs, none is defective?


If in a binomial distribution n = 4, P (X = 0) = \[\frac{16}{81}\], then P (X = 4) equals

 


A fair coin is tossed 100 times. The probability of getting tails an odd number of times is


A five-digit number is written down at random. The probability that the number is divisible by 5, and no two consecutive digits are identical, is


A coin is tossed 10 times. The probability of getting exactly six heads is


The probability of selecting a male or a female is same. If the probability that in an office of n persons (n − 1) males being selected is  \[\frac{3}{2^{10}}\] , the value of n is

 


A bag contains 7 red, 5 white and 8 black balls. If four balls are drawn one by one with replacement, what is the probability that all are white ? 


 Determine the binomial distribution where mean is 9 and standard deviation is `3/2` Also, find the probability of obtaining at most one success. 


Find the mean and variance of the random variable X which denotes the number of doublets in four throws of a pair of dice.


Bernoulli distribution is a particular case of binomial distribution if n = ______


If in the binomial expansion of (1 + x)n where n is a natural number, the coefficients of the 5th, 6th and 7th terms are in A.P., then n is equal to:


A pair of dice is thrown four times. If getting a doublet is considered a success then find the probability of two success.


A fair coin is tossed 8 times. Find the probability that it shows heads at most once.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×