Advertisements
Advertisements
प्रश्न
A random variable X has the following probability distribution:
Values of X : | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
P (X) : | a | 3a | 5a | 7a | 9a | 11a | 13a | 15a | 17a |
Determine:
(i) The value of a
(ii) P (X < 3), P (X ≥ 3), P (0 < X < 5).
उत्तर
(i) Since the sum of probabilities in a probability distribution is always 1.
∴ P (X = 0) + P (X = 1) + P (X = 2) + P (X = 3) + P (X = 4) + P (X = 5) + P (X = 6) + P (X = 7) + P (X = 8) = 1
\[\Rightarrow a + 3a + 5a + 7a + 9a + 11a + 13a + 15a + 17a = 1\]
\[ \Rightarrow 81a = 1\]
\[ \Rightarrow a = \frac{1}{81}\]
(ii) P (X < 3)
\[= P\left( X = 0 \right) + P\left( X = 1 \right) + P\left( X = 2 \right)\]
\[ = \frac{1}{81} + \frac{3}{81} + \frac{5}{81}\]
\[ = \frac{9}{81}\]
\[ = \frac{1}{9}\]
P (X ≥ 3)
\[P\left( X = 3 \right) + P\left( X = 4 \right) + P\left( X = 5 \right) + P\left( X = 6 \right) + P\left( X = 7 \right) + P\left( X = 8 \right)\]
\[ = \frac{7}{81} + \frac{9}{81} + \frac{11}{81} + \frac{13}{81} + \frac{15}{81} + \frac{17}{81}\]
\[ = \frac{72}{81}\]
\[ = \frac{8}{9}\]
P (0 < X < 5)
\[P\left( X = 1 \right) + P\left( X = 2 \right) + P\left( X = 3 \right) + P\left( X = 4 \right)\]
\[ = \frac{3}{81} + \frac{5}{81} + \frac{7}{81} + \frac{9}{81}\]
\[ = \frac{24}{81}\]
\[ = \frac{8}{27}\]
APPEARS IN
संबंधित प्रश्न
Probability distribution of X is given by
X = x | 1 | 2 | 3 | 4 |
P(X = x) | 0.1 | 0.3 | 0.4 | 0.2 |
Find P(X ≥ 2) and obtain cumulative distribution function of X
State the following are not the probability distributions of a random variable. Give reasons for your answer.
X | 0 | 1 | 2 | 3 | 4 |
P(X) | 0.1 | 0.5 | 0.2 | -0.1 | 0.3 |
An urn contains 5 red and 2 black balls. Two balls are randomly drawn. Let X represents the number of black balls. What are the possible values of X? Is X a random variable?
If the probability that a fluorescent light has a useful life of at least 800 hours is 0.9, find the probabilities that among 20 such lights at least 2 will not have a useful life of at least 800 hours. [Given : (0⋅9)19 = 0⋅1348]
A random variable X ~ N (0, 1). Find P(X > 0) and P(X < 0).
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 x number of colleges. It is given that
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.
Two numbers are selected at random (without replacement) from positive integers 2, 3, 4, 5, 6 and 7. Let X denote the larger of the two numbers obtained. Find the mean and variance of the probability distribution of X.
Which of the following distributions of probabilities of a random variable X are the probability distributions?
(i)
X : | 3 | 2 | 1 | 0 | −1 |
P (X) : | 0.3 | 0.2 | 0.4 | 0.1 | 0.05 |
X : | 0 | 1 | 2 |
P (X) : | 0.6 | 0.4 | 0.2 |
(iii)
X : | 0 | 1 | 2 | 3 | 4 |
P (X) : | 0.1 | 0.5 | 0.2 | 0.1 | 0.1 |
(iv)
X : | 0 | 1 | 2 | 3 |
P (X) : | 0.3 | 0.2 | 0.4 | 0.1 |
A random variable X takes the values 0, 1, 2 and 3 such that:
P (X = 0) = P (X > 0) = P (X < 0); P (X = −3) = P (X = −2) = P (X = −1); P (X = 1) = P (X = 2) = P (X = 3) . Obtain the probability distribution of X.
A class has 15 students whose ages are 14, 17, 15, 14, 21, 19, 20, 16, 18, 17, 20, 17, 16, 19 and 20 years respectively. One student is selected in such a manner that each has the same chance of being selected and the age X of the selected student is recorded. What is the probability distribution of the random variable X?
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 and standard deviation of each of the following probability distribution :
xi: | 0 | 1 | 3 | 5 |
pi : | 0.2 | 0.5 | 0.2 | 0.1 |
Find the mean and standard deviation of each of the following probability distribution :
xi : | 0 | 1 | 2 | 3 | 4 | 5 |
pi : |
\[\frac{1}{6}\]
|
\[\frac{5}{18}\]
|
\[\frac{2}{9}\]
|
\[\frac{1}{6}\]
|
\[\frac{1}{9}\]
|
\[\frac{1}{18}\]
|
A discrete random variable X has the probability distribution given below:
X: | 0.5 | 1 | 1.5 | 2 |
P(X): | k | k2 | 2k2 | k |
Find the value of k.
A fair coin is tossed four times. Let X denote the number of heads occurring. Find the probability distribution, mean and variance of X.
A fair die is tossed. Let X denote twice the number appearing. Find the probability distribution, mean and variance of X.
Two numbers are selected at random (without replacement) from positive integers 2, 3, 4, 5, 6 and 7. Let X denote the larger of the two numbers obtained. Find the mean and variance of the probability distribution of X.
If X denotes the number on the upper face of a cubical die when it is thrown, find the mean of X.
Find the mean of the following probability distribution:
X= xi: | 1 | 2 | 3 |
P(X= xi) : |
\[\frac{1}{4}\]
|
\[\frac{1}{8}\]
|
\[\frac{5}{8}\]
|
A random variable has the following probability distribution:
X = xi : | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
P (X = xi) : | 0 | 2 p | 2 p | 3 p | p2 | 2 p2 | 7 p2 | 2 p |
The value of p is
From a lot of 15 bulbs which include 5 defective, a sample of 4 bulbs is drawn one by one with replacement. Find the probability distribution of number of defective bulbs. Hence, find the mean of the distribution.
Three fair coins are tossed simultaneously. If X denotes the number of heads, find the probability distribution of X.
John and Mathew started a business with their capitals in the ratio 8 : 5. After 8 months, john added 25% of his earlier capital as further investment. At the same time, Mathew withdrew 20% of bis earlier capital. At the end of the year, they earned ₹ 52000 as profit. How should they divide the profit between them?
The probability that a bomb dropped from an aeroplane will strike a target is `1/5`, If four bombs are dropped, find the probability that :
(a) exactly two will strike the target,
(b) at least one will strike the target.
Amit and Rohit started a business by investing ₹20,000 each. After 3 months Amit withdrew ₹5,000 and Rohit put in ₹5,000 additionally. How should a profit of ₹12,800 be divided between them at the end of the year?
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.
An urn contains 5 red and 2 black balls. Two balls are drawn at random. X denotes number of black balls drawn. What are possible values of X?
A sample of 4 bulbs is drawn at random with replacement from a lot of 30 bulbs which includes 6 defective bulbs. Find the probability distribution of the number of defective bulbs.
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
Defects on plywood sheet occur at random with the average of one defect per 50 sq.ft. Find the probability that such a sheet has:
- no defect
- at least one defect
Use e−1 = 0.3678
Solve the following problem :
Following is the probability distribution of a r.v.X.
x | – 3 | – 2 | –1 | 0 | 1 | 2 | 3 |
P(X = x) | 0.05 | 0.1 | 0.15 | 0.20 | 0.25 | 0.15 | 0.1 |
Find the probability that X is even.
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 ______
Find the probability distribution of the number of doublets in three throws of a pair of dice
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 probability distribution of a random variable X is given below:
X | 0 | 1 | 2 | 3 |
P(X) | k | `"k"/2` | `"k"/4` | `"k"/8` |
Determine the value of k.
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 the value of k
The probability distribution of a discrete random variable X is given below:
X | 2 | 3 | 4 | 5 |
P(X) | `5/"k"` | `7/"k"` | `9/"k"` | `11/"k"` |
The value of k is ______.
For the following probability distribution:
X | 1 | 2 | 3 | 4 |
P(X) | `1/10` | `3/10` | `3/10` | `2/5` |
E(X2) is equal to ______.
A random variable x has to following probability distribution.
X | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
P(x) | 0 | k | 2k | 2k | 3k | k2 | 2k2 | 7k2 + k |
Determine