मराठी

A Coin is Tossed 4 Times. the Probability that at Least One Head Turns up is - Mathematics

Advertisements
Advertisements

प्रश्न

A coin is tossed 4 times. The probability that at least one head turns up is

पर्याय

  • \[\frac{1}{16}\]

     
  • \[\frac{2}{16}\]

     
  • \[\frac{14}{16}\]

     
  • \[\frac{15}{16}\]

     
MCQ

उत्तर

\[\frac{15}{16}\]

Let X denote the number of heads obtained in four tosses of a coin .
Then X follows a binomial distribution with

\[n = 4 \text{ and } p = q = \frac{1}{2}\]
\[\text{ Distribution is given by } \]
\[P(X = r) = ^{4}{}{C}_r \left( \frac{1}{2} \right)^r \left( \frac{1}{2} \right)^{4 - r} \]
\[ \therefore P(X = r) = ^{4}{}{C}_0 \left( \frac{1}{2} \right)^0 \left( \frac{1}{2} \right)^{4 - 0} \]
\[P(\text{ atleast one head turns up} )  = P(X \geq 1) \]
\[ = 1 - P(X = 0) \]
\[ = 1 - \frac{1}{2^4}\]
\[ = \frac{15}{16}\]

shaalaa.com
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 33: Binomial Distribution - MCQ [पृष्ठ २९]

APPEARS IN

आरडी शर्मा Mathematics [English] Class 12
पाठ 33 Binomial Distribution
MCQ | Q 22 | पृष्ठ २९

व्हिडिओ ट्यूटोरियलVIEW ALL [1]

संबंधित प्रश्‍न

The probability that a bulb produced by a factory will fuse after 150 days of use is 0.05. What is the probability that out of 5 such bulbs
(i) none
(ii) not more than one
(iii) more than one
(iv) at least one, will fuse after 150 days of use.


A fair coin is tossed 8 times. Find the probability that it shows heads exactly 5 times.


The probability that a bulb produced by a factory will fuse after 150 days of use is 0.05. Find the probability that out of 5 such bulbs none will fuse after 150 days of use 


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 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

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

 


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?


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 exactly 2 will strike the target .


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 none contract the disease .


An experiment succeeds twice as often as it fails. Find the probability that in the next 6 trials there will be at least 4 successes.

 

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 .

 

Ten eggs are drawn successively, with replacement, from a lot containing 10% defective eggs. Find the probability that there is at least one defective egg.


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 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 none of the bulbs is defective .

 

Determine the binomial distribution whose mean is 20 and variance 16.

 

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


Find the binomial distribution whose mean is 5 and variance \[\frac{10}{3} .\]

 

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).

 

The probability that an item produced by a factory is defective is 0.02. A shipment of 10,000 items is sent to its warehouse. Find the expected number of defective items and the standard deviation.


The mean and variance of a binomial distribution are \[\frac{4}{3}\] and \[\frac{8}{9}\] respectively. Find P (X ≥ 1).

 
 

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

 
 

In a binomial distribution, if n = 20 and q = 0.75, then write its mean.

 

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

 

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


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 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 fair die is tossed eight times. The probability that a third six is observed in the eighth throw is


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


A coin is tossed n times. The probability of getting at least once is greater than 0.8. Then, the least value of n, is


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.


Suppose a random variable X follows the binomial distribution with parameters n and p, where 0 < p < 1. If P(x = r)/P(x = n – r) is independent of n and r, then p equals ______.


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.


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 ______.


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


For the binomial distribution X ∼ B(n, p), n = 6 and P(X = 4) = P(X = 2). find p.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×