English

If the p.m.f of a r. v. X is P(x) = cx3, for x = 1, 2, 3 = 0, otherwise then E(X) = ______. - Mathematics and Statistics

Advertisements
Advertisements

Question

If the p.m.f of a r. v. X is

P(x) = `c/x^3`, for x = 1, 2, 3

        = 0, otherwise

then E(X) = ______.

Options

  • `216/251`

  • `294/251`

  • `297/294`

  • `294/297`

MCQ
Fill in the Blanks
Advertisements

Solution

If the p.m.f of a r. v. X is

P(x) = `c/x^3`, for x = 1, 2, 3

        = 0, otherwise

then E(X) = `bb(294/251)`.

shaalaa.com
  Is there an error in this question or solution?
2021-2022 (March) Set 1

APPEARS IN

RELATED QUESTIONS

From a lot of 25 bulbs of which 5 are defective a sample of 5 bulbs was drawn at random with replacement. Find the probability that the sample will contain -

(a) exactly 1 defective bulb.

(b) at least 1 defective bulb.


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?


Assume that the chances of the patient having a heart attack are 40%. It is also assumed that a meditation and yoga course reduce the risk of heart attack by 30% and prescription of certain drug reduces its chances by 25%. At a time a patient can choose any one of the two options with equal probabilities. It is given that after going through one of the two options the patient selected at random suffers a heart attack. Find the probability that the patient followed a course of meditation and yoga?


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.


Find the probability distribution of the number of doublets in four throws of a pair of dice. Also find the mean and variance of this distribution.


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).


Two cards are drawn from a well shuffled pack of 52 cards. Find the probability distribution of the number of aces.


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 simultaneously from a well-shuffled deck of 52 cards. Find the probability distribution of the number of successes, when getting a spade is considered a success. 


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 the value of k .


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.


Find the mean variance and standard deviation of the following probability distribution 

xi : a b
pi : p q
where p + q = 1 .

Two cards are drawn simultaneously from a pack of 52 cards. Compute the mean and standard deviation of the number of kings.


A die is tossed twice. A 'success' is getting an even number on a toss. Find the variance of number of successes. 


For the following probability density function (p. d. f) of X, find P(X < 1) and P(|x| < 1) 

`f(x) = x^2/18, -3 < x < 3`

            = 0,             otherwise


Calculate `"e"_0^circ ,"e"_1^circ , "e"_2^circ` from the following: 

Age x 0 1 2
lx 1000 880 876
T - - 3323

Demand function x, for a certain commodity is given as x = 200 - 4p where p is the unit price. Find :
(a) elasticity of demand as function of p.
(b) elasticity of demand when p = 10 , interpret your result.


The following data gives the marks of 20 students in mathematics (X) and statistics (Y) each out of 10, expressed as (x, y). construct ungrouped frequency distribution considering single number as a class :
(2, 7) (3, 8) (4, 9) (2, 8) (2, 8) (5, 6) (5 , 7) (4, 9) (3, 8) (4, 8) (2, 9) (3, 8) (4, 8) (5, 6) (4, 7) (4, 7) (4, 6 ) (5, 6) (5, 7 ) (4, 6 )


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? 


A fair coin is tossed 12 times. Find the probability of getting exactly 7 heads .


Alex spends 20% of his income on food items and 12% on conveyance. If for the month of June 2010, he spent ₹900 on conveyance, find his expenditure on food items during the same month. 


The following table gives the age of the husbands and of the wives : 

Age of wives (in years)

Age of husbands (in years)

20-30  30- 40  40- 50  50- 60 
15-25  5 9 3 -
25-35  - 10 25 2
35-45  - 1 12 2
45-55  - - 4 16
55-65  - - - 4

Find the marginal frequency distribution of the age of husbands. 


Verify whether the following function can be regarded as probability mass function (p.m.f.) for the given values of X : 

X -1 0 1
P(X = x) -0.2 1 0.2

The defects on a plywood sheet occur at random with an average of the defect per 50 sq. ft. What Is the probability that such sheet will have-

(a) No defects
(b) At least one defect 
[Use e-1 = 0.3678]


From the following data, find the crude death rates (C.D.R.) for Town I and Town II, and comment on the results : 

Age Group (in years) Town I Town II
Population  No. of deaths Population  No. of deaths
0-10  1500 45 6000 150
10-25  5000 30 6000 40
25 - 45  3000 15 5000 20
45 & above  500 22 3000 54

A card is drawn at random and replaced four times from a well shuftled pack of 52 cards. Find the probability that -

(a) Two diamond cards are drawn.
(b) At least one diamond card is drawn.


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

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

z 3 2 1 0 -1
P(z) 0.3 0.2 0.4. 0.05 0.05

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

x 0 1 2
P(x) 0.3 0.4 0.2

Find the probability distribution of the number of successes in two tosses of a die if success is defined as getting a number greater than 4.


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.


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.


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:

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 odd.


Solve the following problem :

The probability that a machine will produce all bolts in a production run within the specification is 0.9. A sample of 3 machines is taken at random. Calculate the probability that all machines will produce all bolts in a production run within the specification.


Find the probability distribution of the number of doublets in three throws of a pair of dice


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


Let X be a discrete random variable. The probability distribution of X is given below:

X 30 10 – 10
P(X) `1/5` `3/10` `1/2`

Then E(X) is equal to ______.


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 as under:

X 1 2 4 2A 3A 5A
P(X) `1/2` `1/5` `3/25` `1/10` `1/25` `1/25`

Calculate: The value of A if E(X) = 2.94


The probability distribution of a discrete random variable X is given as under:

X 1 2 4 2A 3A 5A
P(X) `1/2` `1/5` `3/25` `1/10` `1/25` `1/25`

Calculate: Variance of X


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(X)


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 ______.


Find the probability distribution of the number of successes in two toves of a die where a success is define as:- Six appeared on at least one die.


A box contains 30 fruits, out of which 10 are rotten. Two fruits are selected at random one by one without replacement from the box. Find the probability distribution of the number of unspoiled fruits. Also find the mean of the probability distribution.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×