मराठी

If the Mean and Variance of a Binomial Variate X Are 2 and 1 Respectively, Then the Probability that X Takes a Value Greater than 1 is (A) 2/3 (B) 4/5 (C) 7/8 (D) 15/16 - Mathematics

Advertisements
Advertisements

प्रश्न

If the mean and variance of a binomial variate X are 2 and 1 respectively, then the probability that X takes a value greater than 1 is

पर्याय

  • 2/3

  • 4/5

  • 7/8

  • 15/16

     
MCQ

उत्तर

15/16

Mean =2 and variance =1

\[\Rightarrow np = 2 \text{ and npq }  = 1\]
\[ \Rightarrow q = \frac{1}{2} \]
\[ \Rightarrow p = 1 - \frac{1}{2} = \frac{1}{2} \]
\[n = \frac{\text{ Mean} }{p}\]
\[ \Rightarrow n = 4\]
\[\text{ Hence, the distribution is given by } \]
\[P\left( X = r \right) =^{4}{}{C}_r \left( \frac{1}{2} \right)^r \left( \frac{1}{2} \right)^{4 - r} , r = 0, 1, 2, 3, 4\]
\[ \therefore P(X \geq 1) = 1 - P(X = 0) \]
\[ = 1 - \frac{1}{2^4}\]
\[ = \frac{15}{16}\]

shaalaa.com
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 33: Binomial Distribution - MCQ [पृष्ठ २८]

APPEARS IN

आरडी शर्मा Mathematics [English] Class 12
पाठ 33 Binomial Distribution
MCQ | Q 12 | पृष्ठ २८

व्हिडिओ ट्यूटोरियलVIEW ALL [1]

संबंधित प्रश्‍न

A bag consists of 10 balls each marked with one of the digits 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?


It is known that 10% of certain articles manufactured are defective. What is the probability that in a random sample of 12 such articles, 9 are defective?


A couple has two children, Find the probability that both children are males, if it is known that at least one of the children is male.


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?


The probability that a student is not a swimmer is 1/5 . Then the probability that out of five students, four are swimmers is

(A) `""^5C_4 (4/5)^4 1/5`

(B) `(4/5)^4 1/5

(C) `""^5C_1 1/5 (4/5)^4 `

(D) None of these


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?


An urn contains four white and three red balls. Find the probability distribution of the number of red balls in three draws with replacement from the urn.


A coin is tossed 5 times. If X is the number of heads observed, find the probability distribution of X.

 

An unbiased die is thrown twice. A success is getting a number greater than 4. Find the probability distribution of the number of successes.

 

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.


Six coins are tossed simultaneously. Find the probability of getting
(i) 3 heads
(ii) no heads
(iii) at least one head


The probability that a student entering a university will graduate is 0.4. Find the probability that out of 3 students of the university all will graduate .

 

A person buys a lottery ticket in 50 lotteries, in each of which his chance of winning a prize is \[\frac{1}{100} .\]  What is the probability that he will win a prize exactly once.


A pair of dice is thrown 4 times. If getting a doublet is considered a success, find the probability distribution of the number of successes.


A factory produces bulbs. The probability that one bulb is defective is \[\frac{1}{50}\] and they are packed in boxes of 10. From a single box, find the probability that  more than 8 bulbs work properly                                                                                                                            

 

 


If the mean and variance of a binomial distribution are respectively 9 and 6, find the distribution.


If the probability of a defective bolt is 0.1, find the (i) mean and (ii) standard deviation for the distribution of bolts in a total of 400 bolts.


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

 
 

In a group of 200 items, if the probability of getting a defective item is 0.2, write the mean of the distribution.


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


If X follows binomial distribution with parameters n = 5, p and P(X = 2) = 9P(X = 3), then find the value of p.  


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

 


Let X denote the number of times heads occur in n tosses of a fair coin. If P (X = 4), P (X= 5) and P (X = 6) are in AP, the value of n is 


A biased coin with probability p, 0 < p < 1, of heads is tossed until a head appears for the first time. If the probability that the number of tosses required is even is 2/5, then p equals


Fifteen coupons are numbered 1 to 15. Seven coupons are selected at random one at a time with replacement. The probability that the largest number appearing on a selected coupon is 9 is


If the mean and variance of a binomial distribution are 4 and 3, respectively, the probability of getting exactly six successes in this distribution is


Mark the correct alternative in the following question:
A box contains 100 pens of which 10 are defective. What is the probability that out of a sample of 5 pens drawn one by one with replacement at most one is defective?


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 ? 


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


One of the condition of Bernoulli trials is that the trials are independent of each other.


The sum of n terms of the series `1 + 2(1 + 1/n) + 3(1 + 1/n)^2 + ...` is


In a box containing 100 bulbs, 10 are defective. The probability that out of a sample of 5 bulbs, none is defective is:-


An ordinary dice is rolled for a certain number of times. If the probability of getting an odd number 2 times is equal to the probability of getting an even number 3 times, then the probability of getting an odd number for odd number of times is ______.


The mean and variance of a binomial distribution are α and `α/3` respectively. If P(X = 1) = `4/243`, then P(X = 4 or 5) is equal to ______.


If a random variable X follows the Binomial distribution B (33, p) such that 3P(X = 0) = P(X = 1), then the value of `(P(X = 15))/(P(X = 18)) - (P(X = 16))/(P(X = 17))` is equal to ______.


A fair coin is tossed 6 times. Find the probability of getting heads 4 times.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×