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Tamil Nadu Board of Secondary EducationHSC Science Class 12

HSC Science Class 12 - Tamil Nadu Board of Secondary Education Question Bank Solutions for Mathematics

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The cumulative distribution function of a discrete random variable is given by
F(x) = `{{:(0,  - oo < x < - 1),(0.15, - 1 ≤ x < 0),(0.35, 0 ≤ x < 1),(0.60, 1 ≤ x < 2),(0.85, 2 ≤ x < 3),(1, 3 ≤ x < oo):}`
Find P(X < 1)

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

The cumulative distribution function of a discrete random variable is given by
F(x) = `{{:(0,  - oo < x < - 1),(0.15, - 1 ≤ x < 0),(0.35, 0 ≤ x < 1),(0.60, 1 ≤ x < 2),(0.85, 2 ≤ x < 3),(1, 3 ≤ x < oo):}`
Find P(X ≥ 2)

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

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A random variable X has the following probability mass function.

x 1 2 3 4 5
F(x) k2 2k2 3k2 2k 3k

Find the value of k

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

A random variable X has the following probability mass function.

x 1 2 3 4 5
F(x) k2 2k2 3k2 2k 3k

Find P(2 ≤ X < 5)

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

A random variable X has the following probability mass function.

x 1 2 3 4 5
F(x) k2 2k2 3k2 2k 3k

Find P(X > 3)

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

The cumulative distribution function of a discrete random variable is given by
F(x) = `{{:(0,  "for" - oo < x < 0),(1/2,  "for"  0 ≤ x < 1),(3/5,  "for"  1 ≤ x < 2),(4/5,  "for"  2 ≤ x < 4),(9/5,  "for"  3 ≤ x < 4),(1,  "for"   ≤ x < oo):}`
Find the probability mass function

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

The cumulative distribution function of a discrete random variable is given by
F(x) = `{{:(0,  "for" - oo < x < 0),(1/2,  "for"  0 ≤ x < 1),(3/5,  "for"  1 ≤ x < 2),(4/5,  "for"  2 ≤ x < 4),(9/5,  "for"  3 ≤ x < 4),(1,  "for"   ≤ x < oo):}`
Find P(X < 3)

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

The cumulative distribution function of a discrete random variable is given by
F(x) = `{{:(0,  "for" - oo < x < 0),(1/2,  "for"  0 ≤ x < 1),(3/5,  "for"  1 ≤ x < 2),(4/5,  "for"  2 ≤ x < 4),(9/5,  "for"  3 ≤ x < 4),(1,  "for"   ≤ x < oo):}`
Find P(X ≥ 2)

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

Choose the correct alternative:

A pair of dice numbered 1, 2, 3, 4, 5, 6 of a six-sided die and 1, 2, 3, 4 of a four-sided die is rolled and the sum is determined. Let the random variable X denote this sum. Then the number of elements in the inverse image of 7 is

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

Choose the correct alternative:

Two coins are to be flipped. The first coin will land on heads with probability 0.6, the second with Probability 0.5. Assume that the results of the flips are independent and let X equal the total number of heads that result. The value of E[X] is

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

Choose the correct alternative:

Suppose that X takes on one of the values 0, 1 and 2. If for some constant k, P(X = i) = kP(X = i – 1) for i = 1, 2 and P(X = 0) = `1/7`. Then the value of k is

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

Choose the correct alternative:

Which of the following is a discrete random variable?
I. The number of cars crossing a particular signal in a day.
II. The number of customers in a queue to buy train tickets at a moment.
III. The time taken to complete a telephone call.

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

Choose the correct alternative:

The probability mass function of a random variable is defined as:

x – 2 – 1 0 1 2
f(x) k 2k 3k 4k 5k

Then E(X ) is equal to:

[11] Probability Distributions
Chapter: [11] Probability Distributions
Concept: undefined >> undefined

Let p : Jupiter is a planet and q : India is an island be any two simple statements. Give verbal sentence describing the following statement.

¬ P

[12] Discrete Mathematics
Chapter: [12] Discrete Mathematics
Concept: undefined >> undefined

Let p : Jupiter is a planet and q : India is an island be any two simple statements. Give verbal sentence describing the following statement.

P ∧ ¬q

[12] Discrete Mathematics
Chapter: [12] Discrete Mathematics
Concept: undefined >> undefined

Let p : Jupiter is a planet and q : India is an island be any two simple statements. Give verbal sentence describing the following statement.

¬p v q

[12] Discrete Mathematics
Chapter: [12] Discrete Mathematics
Concept: undefined >> undefined

Let p : Jupiter is a planet and q : India is an island be any two simple statements. Give verbal sentence describing the following statement.

p → ¬q

[12] Discrete Mathematics
Chapter: [12] Discrete Mathematics
Concept: undefined >> undefined

Let p : Jupiter is a planet and q : India is an island be any two simple statements. Give verbal sentence describing the following statement.

p ↔ q

[12] Discrete Mathematics
Chapter: [12] Discrete Mathematics
Concept: undefined >> undefined

Write the following sentences in symbolic form using statement variables p and q.

19 is not a prime number and all the angles of a triangle are equal

[12] Discrete Mathematics
Chapter: [12] Discrete Mathematics
Concept: undefined >> undefined

Write the following sentences in symbolic form using statement variables p and q.

19 is a prime number or all the angles of a triangle are not equal

[12] Discrete Mathematics
Chapter: [12] Discrete Mathematics
Concept: undefined >> undefined
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