Advertisements
Advertisements
Question
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.
Solution
Let X denote the number of tails.
∴ Possible values of X are 0, 1, 2.
Let P(getting tail) = p
According to the given condition,
P(getting head) = q = 3p
As p + q = 1,
p + 3p = 1
∴ p = `(1)/(4) "and " "q" = (3)/(4)`
∴ P(X = 0) = P(no tails) = qq = q2 = `(3/4)^2 = (9)/(16)`
P(X = 1) = P(one tail) = pq + qp = 2pq = `2(1/4)(3/4) = (6)/(16)`
P(X = 2) = P(two tails) = pp = p2 = `(1/4)^2 = (1)/(6)`
∴ Probability distribution of X is as follows:
X | 0 | 1 | 2 |
P(X = x) | `(9)/(16)` | `(6)/(16)` | `(1)/(16)` |
APPEARS IN
RELATED QUESTIONS
State the following are not the probability distributions of a random variable. Give reasons for your answer.
X | 0 | 1 | 2 |
P (X) | 0.4 | 0.4 | 0.2 |
State the following are not the probability distributions of a random variable. Give reasons for your answer.
Y | -1 | 0 | 1 |
P(Y) | 0.6 | 0.1 | 0.2 |
Find the probability distribution of number of tails in the simultaneous tosses of three coins.
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 random variable X ~ N (0, 1). Find P(X > 0) and P(X < 0).
There are 4 cards numbered 1, 3, 5 and 7, one number on one card. Two cards are drawn at random without replacement. Let X denote the sum of the numbers on the two drawn cards. Find the mean 'and variance of X.
Two cards are drawn from a well shuffled pack of 52 cards. Find the probability distribution of the number of aces.
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.
Five defective mangoes are accidently mixed with 15 good ones. Four mangoes are drawn at random from this lot. Find the probability distribution of the number of defective mangoes.
Two cards are drawn successively with replacement from a well shuffled pack of 52 cards. Find the probability distribution of the number of kings.
Two cards are drawn successively without replacement from a well shuffled pack of 52 cards. Find the probability distribution of the number of aces.
Let X represent the difference between the number of heads and the number of tails when a coin is tossed 6 times. What are the possible values of X?
Find the mean variance and standard deviation of the following probability distribution
xi : | a | b |
pi : | p | q |
Two bad eggs are accidently mixed up with ten good ones. Three eggs are drawn at random with replacement from this lot. Compute the mean for the number of bad eggs drawn.
A box contains 13 bulbs, out of which 5 are defective. 3 bulbs are randomly drawn, one by one without replacement, from the box. Find the probability distribution of the number of defective bulbs.
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 .
A random variable has the following probability distribution:
X = xi : | 1 | 2 | 3 | 4 |
P (X = xi) : | k | 2k | 3k | 4k |
Write the value of P (X ≥ 3).
A random variable X has the following probability distribution:
X : | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
P (X) : | 0.15 | 0.23 | 0.12 | 0.10 | 0.20 | 0.08 | 0.07 | 0.05 |
For the events E = {X : X is a prime number}, F = {X : X < 4}, the probability P (E ∪ F) is
A random variable X takes the values 0, 1, 2, 3 and its mean is 1.3. If P (X = 3) = 2 P (X = 1) and P (X = 2) = 0.3, then P (X = 0) is
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 and, hence, find its mean.
A die is tossed twice. A 'success' is getting an even number on a toss. Find the variance of number of successes.
Calculate `"e"_0^circ ,"e"_1^circ , "e"_2^circ` from the following:
Age x | 0 | 1 | 2 |
lx | 1000 | 880 | 876 |
Tx | - | - | 3323 |
Three different aeroplanes are to be assigned to carry three cargo consignments with a view to maximize profit. The profit matrix (in lakhs of ₹) is as follows :
Aeroplanes | Cargo consignments | ||
C1 | C2 | C3 | |
A1 | 1 | 4 | 5 |
A2 | 2 | 3 | 3 |
A3 | 3 | 1 | 2 |
How should the cargo consignments be assigned to the aeroplanes to maximize the profit?
The expenditure Ec of a person with income I is given by Ec = (0.000035) I2 + (0. 045) I. Find marginal propensity to consume (MPC) and average propensity to consume (APC) when I = 5000.
If X ∼ N (4,25), then find P(x ≤ 4)
Find the premium on a property worth ₹12,50,000 at 3% if the property is fully insured.
A random variable X has the following probability distribution :
X | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
P(X) | C | 2C | 2C | 3C | C2 | 2C2 | 7C2+C |
Find the value of C and also calculate the mean of this distribution.
Determine whether each of the following is a probability distribution. Give reasons for your answer.
x | 0 | 1 | 2 |
P(x) | 0.1 | 0.6 | 0.3 |
A die is thrown 4 times. If ‘getting an odd number’ is a success, find the probability of 2 successes
A die is thrown 4 times. If ‘getting an odd number’ is a success, find the probability of at most 2 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
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 :
In a large school, 80% of the students like mathematics. A visitor asks each of 4 students, selected at random, whether they like mathematics.
Find the probability that the visitor obtains the answer yes from at least 3 students.
Find the probability distribution of the maximum of the two scores obtained when a die is thrown twice. Determine also the mean of the distribution.
The probability distribution of a random variable x is given as under:
P(X = x) = `{{:("k"x^2, "for" x = 1"," 2"," 3),(2"k"x, "for" x = 4"," 5"," 6),(0, "otherwise"):}`
where k is a constant. Calculate E(3X2)