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HSC Arts (English Medium) 12th Standard Board Exam - Maharashtra State Board Important Questions

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

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

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]

 

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

A random variable X ~ N (0, 1). Find P(X > 0) and P(X < 0).

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

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

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

If X ∼ N (4,25), then find P(x ≤ 4)

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

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]

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

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.

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

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?

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

State if the following is not the probability mass function 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 0.2
Appears in 1 question paper
Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables

State if the following is not the probability mass function of a random variable. Give reasons for your answer

Z 3 2 1 0 −1
P(Z) 0.3 0.2 0.4 0 0.05
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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables

Find expected value and variance of X, where X is number obtained on uppermost face when a fair die is thrown.

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

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:

  1. k
  2. P(X < 3)
  3. P( X > 4)
Appears in 1 question paper
Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables

Verify which of the following is p.d.f. of r.v. X:

 f(x) = sin x, for 0 ≤ x ≤ `π/2`

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Chapter: [14] Probability Distributions
Concept: Probability Distribution of a Continuous Random Variable

Suppose that X is waiting time in minutes for a bus and its p.d.f. is given by f(x) = `1/5`, for 0 ≤ x ≤ 5 and = 0 otherwise.

Find the probability that waiting time is between 1 and 3.

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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables

Suppose that X is waiting time in minutes for a bus and its p.d.f. is given by f(x) = `1/5`, for 0 ≤ x ≤ 5 and = 0 otherwise.

Find the probability that the waiting time is more than 4 minutes.

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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables

The following is the c.d.f. of r.v. X:

X −3 −2 −1 0 1 2 3 4
F(X) 0.1 0.3 0.5 0.65 0.75 0.85 0.9 1

Find p.m.f. of X.
i. P(–1 ≤ X ≤ 2)
ii. P(X ≤ 3 / X > 0).

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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables

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

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

For the random variable X, if V(X) = 4, E(X) = 3, then E(x2) is ______

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Chapter: [14] Probability Distributions
Concept: Random Variables and Its Probability Distributions

If the p.m.f. of a d.r.v. X is P(X = x) = `{{:(("c")/x^3",", "for"  x = 1","  2","  3","),(0",", "otherwise"):}` then E(X) = ______

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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables

If a d.r.v. X has the following probability distribution:

X 1 2 3 4 5 6 7
P(X = x) k 2k 2k 3k k2 2k2 7k2 + k

then k = ______

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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables
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