English

Find the Probability Distribution Of Number of Tails in the Simultaneous Tosses of Three Coins - Mathematics and Statistics

Advertisements
Advertisements

Question

Find the probability distribution of number of tails in the simultaneous tosses of three coins.

Sum
Advertisements

Solution

When three coins are tossed simultaneously, the sample space is

{HHH, HHT, HTH, HTT, THH, THT, TTH, TTT}

Let X represent the number of tails.

It can be seen that X can take the value of 0, 1, 2 or 3

P(X = 0) = P(HHH) = `1/8`

P(X = 1) = P(HHT) + P(HTH) + P(THH) =`1/8 +1/8+1/8 =3/8`

P(X = 2) = P(HTT) + P(THT) + P(TTH) =`1/8+1/8+1/8 = 3/8`

P(X = 3) = P(TTT) = `1/8`

Thus, the probability distribution is as follows.

X 0 1 2 3
P(X) `1/8` `3/8` `3/8` `1/8`
shaalaa.com
  Is there an error in this question or solution?
Chapter 13: Probability - Exercise 13.4 [Page 570]

APPEARS IN

NCERT Mathematics Part 1 and 2 [English] Class 12
Chapter 13 Probability
Exercise 13.4 | Q 4.2 | Page 570
Balbharati Mathematics and Statistics 2 (Arts and Science) [English] Standard 12 Maharashtra State Board
Chapter 7 Probability Distributions
Exercise 7.1 | Q 4. (ii) | Page 232

RELATED QUESTIONS

State the following are not the probability distributions of a random variable. Give reasons for your answer.

Z 3 2 1 0 -1
P(Z) 0.3 0.2 0.4 0.1 0.05

Find the probability distribution of number of heads in two tosses of a coin.


From a lot of 30 bulbs which include 6 defectives, a sample of 4 bulbs is drawn at random with replacement. Find the probability distribution of the number of defective bulbs.


A coin is biased so that the head is 3 times as likely to occur as tail. If the coin is tossed twice, find the probability distribution of number of tails.


A random variable X has the following probability distribution.

X 0 1 2 3 4 5 6 7
P(X) 0 k 2k 2k 3k k2

2k2

7k2 + k

Determine

(i) k

(ii) P (X < 3)

(iii) P (X > 6)

(iv) P (0 < X < 3)


Two dice are thrown simultaneously. If X denotes the number of sixes, find the expectation of X.


Two numbers are selected at random (without replacement) from the first six positive integers. Let X denotes the larger of the two numbers obtained. Find E(X).


Three persons A, B and C shoot to hit a target. If A hits the target four times in five trials, B hits it three times in four trials and C hits it two times in three trials, find the probability that:

1) Exactly two persons hit the target.

2) At least two persons hit the target.

3) None hit the target.


Let, X denote the number of colleges where you will apply after your results and P(X = x) denotes your probability of getting admission in number of colleges. It is given that

\[P\left( X = x \right) = \begin{cases}kx & , & if x = 0 or 1 \\ 2 kx & , & if x = 2 \\ k\left( 5 - x \right) & , & if x = 3 or 4 \\ 0 & , & if x > 4\end{cases}\]

where k is a positive constant. Find the value of k. Also find the probability that you will get admission in (i) exactly one college (ii) at most 2 colleges (iii) at least 2 colleges.


A random variable X has the following probability distribution:

Values of X : −2 −1 0 1 2 3
P (X) : 0.1 k 0.2 2k 0.3 k
 

Find the value of k


The probability distribution function of a random variable X is given by

xi : 0 1 2
pi : 3c3 4c − 10c2 5c-1

where c > 0  Find: P (1 < X ≤ 2)


Let X be a random variable which assumes values x1, x2, x3, x4 such that 2P (X = x1) = 3P(X = x2) = P (X = x3) = 5 P (X = x4). Find the probability distribution of X.                                                                                                                                                                                 


A bag contains 4 red and 6 black balls. Three balls are drawn at random. Find the probability distribution of the number of red balls.


Find the probability distribution of the number of white balls drawn in a random draw of 3 balls without replacement, from a bag containing 4 white and 6 red balls


A fair die is tossed twice. If the number appearing on the top is less than 3, it is a success. Find the probability distribution of number of successes.


From a lot of 10 bulbs, which includes 3 defectives, a sample of 2 bulbs is drawn at random. Find the probability distribution of the number of defective bulbs.


The probability distribution of a random variable X is given below:

x 0 1 2 3
P(X) k
\[\frac{k}{2}\]
\[\frac{k}{4}\]
\[\frac{k}{8}\]

Determine P(X ≤ 2) and P(X > 2) .


Let, X denote the number of colleges where you will apply after your results and P(X = x) denotes your probability of getting admission in number of colleges. It is given that

\[P\left( X = x \right) = \begin{cases}k\text{ x }  & , & \text{ if } x = 0 \text{ or }  1 \\ 2 \text{ kx }  & , & \text{ if }  x = 2 \\ k\left( 5 - x \right) & , & \text{ if } x = 3 \text{ or } 4 \\ 0 & , & \text{ if } x > 4\end{cases}\]

where k is a positive constant. Find the value of k. Also find the probability that you will get admission in (i) exactly one college (ii) at most 2 colleges (iii) at least 2 colleges.


A fair die is tossed. Let X denote twice the number appearing. Find the probability distribution, mean and variance of X.

 

Three cards are drawn at random (without replacement) from a well shuffled pack of 52 cards. Find the probability distribution of number of red cards. Hence, find the mean of the distribution .  


Write the values of 'a' for which the following distribution of probabilities becomes a probability distribution:

Xxi: -2 -1 0 1
P(Xxi) :
\[\frac{1 - a}{4}\]
 
\[\frac{1 + 2a}{4}\]
\[\frac{1 - 2a}{4}\]
\[\frac{1 + a}{4}\]

Mark the correct alternative in the following question:
The probability distribution of a discrete random variable X is given below:

X: 2 3 4 5
P(X):
 

\[\frac{5}{k}\]
 

\[\frac{7}{k}\]
 

\[\frac{9}{k}\]


\[\frac{11}{k}\]


The value of k is .


Three fair coins are tossed simultaneously. If X denotes the number of heads, find the probability distribution of X. 


Using the truth table verify that p ∨ (q ∧ r) ≡ (p ∨ q) ∧ (p ∨ r).


The p.m.f. of a random variable X is
`"P"(x) = 1/5` , for x = I, 2, 3, 4, 5 
        = 0 , otherwise.
Find E(X).


The p.d.f. of a continuous r.v. X is given by

f (x) = `1/ (2a)` , for 0 < x < 2a and = 0, otherwise. Show that `P [X < a/ 2] = P [X >( 3a)/ 2]` .


Determine whether each of the following is a probability distribution. Give reasons for your answer.

x 0 1 2
P(x) 0.4 0.4 0.2

Determine whether each of the following is a probability distribution. Give reasons for your answer.

x 0 1 2 3 4
P(x) 0.1 0.5 0.2 –0.1 0.3

A coin is biased so that the head is 3 times as likely to occur as tail. Find the probability distribution of number of tails in two tosses.


A die is thrown 4 times. If ‘getting an odd number’ is a success, find the probability of at least 3 successes


A pair of dice is thrown 3 times. If getting a doublet is considered a success, find the probability of two successes.


The probability that a bulb produced by a factory will fuse after 200 days of use is 0.2. Let X denote the number of bulbs (out of 5) that fuse after 200 days of use. Find the probability of X > 1


State whether the following is True or False :

If r.v. X assumes the values 1, 2, 3, ……. 9 with equal probabilities, E(x) = 5.


Solve the following problem :

Find the probability of the number of successes in two tosses of a die, where success is defined as number greater than 4.


Solve the following problem :

Find the probability of the number of successes in two tosses of a die, where success is defined as six appears in at least one toss.


Solve the following problem :

If a fair coin is tossed 4 times, find the probability that it shows 3 heads


Solve the following problem :

The probability that a lamp in the classroom will burn is 0.3. 3 lamps are fitted in the classroom. The classroom is unusable if the number of lamps burning in it is less than 2. Find the probability that the classroom cannot be used on a random occasion.


Solve the following problem :

A computer installation has 3 terminals. The probability that any one terminal requires attention during a week is 0.1, independent of other terminals. Find the probabilities that 0


Let the p.m.f. of a random variable X be P(x) = `(3 - x)/10`, for x = −1, 0, 1, 2 = 0, otherwise Then E(x) is ______


A random variable X has the following probability distribution

X 2 3 4
P(x) 0.3 0.4 0.3

Then the variance of this distribution is


Four balls are to be drawn without replacement from a box containing 8 red and 4 white balls. If X denotes the number of red ball drawn, find the probability distribution of X.


The random variable X can take only the values 0, 1, 2. Given that P(X = 0) = P(X = 1) = p and that E(X2) = E[X], find the value of p


Let X be a discrete random variable whose probability distribution is defined as follows:
P(X = x) = `{{:("k"(x + 1),  "for"  x = 1"," 2"," 3"," 4),(2"k"x,  "for"  x = 5"," 6"," 7),(0,  "Otherwise"):}`
where k is a constant. Calculate E(X)


Let X be a discrete random variable whose probability distribution is defined as follows:
P(X = x) = `{{:("k"(x + 1),  "for"  x = 1"," 2"," 3"," 4),(2"k"x,  "for"  x = 5"," 6"," 7),(0,  "Otherwise"):}`
where k is a constant. Calculate Standard deviation of X.


For the following probability distribution:

X – 4 – 3 – 2 – 1 0
P(X) 0.1 0.2 0.3 0.2 0.2

E(X) is equal to ______.


A person throws two fair dice. He wins ₹ 15 for throwing a doublet (same numbers on the two dice), wins ₹ 12 when the throw results in the sum of 9, and loses ₹ 6 for any other outcome on the throw. Then the expected gain/loss (in ₹) of the person is ______.


Kiran plays a game of throwing a fair die 3 times but to quit as and when she gets a six. Kiran gets +1 point for a six and –1 for any other number.

  1. If X denotes the random variable “points earned” then what are the possible values X can take?
  2. Find the probability distribution of this random variable X.
  3. Find the expected value of the points she gets.

Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×