English

A Fair Coin is Tossed 99 Times. If X is the Number of Times Head Appears, Then P (X = R) is Maximum When R is (A) 49, 50 (B) 50, 51 (C) 51, 52 (D) None of These - Mathematics

Advertisements
Advertisements

Question

A fair coin is tossed 99 times. If X is the number of times head appears, then P (X = r) is maximum when r is

Options

  • 49, 50

  • 50, 51

  • 51, 52

  • None of these

     
MCQ

Solution

49, 50
When a coin is tossed 99 times, the number of heads X follows a binomial distribution with

\[p = q = \frac{1}{2} = 0 . 5\]
\[P(X = r) = ^{n}{}{C}_r (0 . 5 )^r (0 . 5 )^{n - r} = ^{n}{}{C}_r (0 . 5 )^n \]
\[As (0 . 5 )^n \text{ is common to all r it is enough if we find the maximum of }\ ^{\ n}{}{C}_r . \]
\[\text{ We know that for odd number of n, there will be two equal maximum terms, } \]
\[\text{ i . e . when } r = \frac{n - 1}{2}\text{ and }  r = \frac{n + 1}{2}\]
\[\text{ Hence,}  \ n = 99 \]
\[\text{ So, the maximum is obtained when r = 49 or } 50\]

shaalaa.com
  Is there an error in this question or solution?
Chapter 33: Binomial Distribution - MCQ [Page 28]

APPEARS IN

RD Sharma Mathematics [English] Class 12
Chapter 33 Binomial Distribution
MCQ | Q 10 | Page 28

Video TutorialsVIEW ALL [1]

RELATED QUESTIONS

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.


In an examination, 20 questions of true-false type are asked. Suppose a student tosses a fair coin to determine his answer to each question. If the coin falls heads, he answers ‘true’; if it falls tails, he answers ‘false’. Find the probability that he answers at least 12 questions correctly.


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


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?


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

(A) 10−1

(B) `(1/2)^5`

(C) `(9/10)^5`

(D) 9/10


Assume that on an average one telephone number out of 15 called between 2 P.M. and 3 P.M. on week days is busy. What is the probability that if six randomly selected telephone numbers are called, at least 3 of them will be busy?


The mathematics department has 8 graduate assistants who are assigned to the same office. Each assistant is just as likely to study at home as in office. How many desks must there be in the office so that each assistant has a desk at least 90% of the time?


Suppose that a radio tube inserted into a certain type of set has probability 0.2 of functioning more than 500 hours. If we test 4 tubes at random what is the probability that exactly three of these tubes function for more than 500 hours?


It is known that 60% of mice inoculated with a serum are protected from a certain disease. If 5 mice are inoculated, find the probability that more than 3 contract the disease .

 

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.


In a 20-question true-false examination, suppose a student tosses a fair coin to determine his answer to each question. For every head, he answers 'true' and for every tail, he answers 'false'. Find the probability that he answers at least 12 questions correctly.


Suppose X has a binomial distribution with = 6 and \[p = \frac{1}{2} .\]  Show that X = 3 is the most likely outcome.

 
 

The probability of a man hitting a target is 0.25. He shoots 7 times. What is the probability of his hitting at least twice?


A box has 20 pens of which 2 are defective. Calculate the probability that out of 5 pens drawn one by one with replacement, at most 2 are defective.


Find the binomial distribution when the sum of its mean and variance for 5 trials is 4.8.

 

The mean of a binomial distribution is 20 and the standard deviation 4. Calculate the parameters of the binomial distribution.


If X follows a binomial distribution with mean 4 and variance 2, find P (X ≥ 5).

 

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

 
 

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 variate X are 2 and 1 respectively, find P (X > 1).

 

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?


A fair die is thrown twenty times. The probability that on the tenth throw the fourth six appears is


If X follows a binomial distribution with parameters n = 100 and p = 1/3, then P (X = r) is maximum when r =


For a binomial variate X, if n = 3 and P (X = 1) = 8 P (X = 3), then p =


Five cards are drawn successively with replacement from a well-shuffled pack of 52 cards. What is the probability that  only 3 cards are spades ? 


Five cards are drawn successively with replacement from a well-shuffled pack of 52 cards. What is the probability that  none is a spade ?


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


The mean, median and mode for binomial distribution will be equal when


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


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


A box B1 contains 1 white ball and 3 red balls. Another box B2 contains 2 white balls and 3 red balls. If one ball is drawn at random from each of the boxes B1 and B2, then find the probability that the two balls drawn are of the same colour.


The probability of hitting a target in any shot is 0.2. If 5 shots are fired, find the probability that the target will be hit at least twice.


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


If the sum of mean and variance of a binomial distribution is `25/9` for 5 trials, find p.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×