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Tamil Nadu Board of Secondary EducationHSC Science इयत्ता १२

HSC Science इयत्ता १२ - Tamil Nadu Board of Secondary Education Question Bank Solutions for Mathematics

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Mathematics
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Find the differential equation of the curve represented by xy = aex + be–x + x2

[10] Ordinary Differential Equations
Chapter: [10] Ordinary Differential Equations
Concept: undefined >> undefined

Choose the correct alternative:

The slope at any point of a curve y = f(x) is given by `("d"y)/("d"x) - 3x^2` and it passes through (-1, 1). Then the equation of the curve is

[10] Ordinary Differential Equations
Chapter: [10] Ordinary Differential Equations
Concept: undefined >> undefined

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The probability density function of X is given by
`f(x) = {{:(kx"e"^(-2x),  "for"  x > 0),(0,  "for"  x ≤ 0):}`
Find the value of k

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

The probability density function of X is `f(x) = {(x, 0 < x < 1),(2 - x, 1 ≤ x ≤ 2),(0, "otherwise"):}`
Find P(0.2 ≤ X < 0.6)

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

The probability density function of X is `f(x) = {(x, 0 < x < 1),(2 - x, 1 ≤ x ≤ 2),(0, "otherwise"):}`
Find P(1.2 ≤ X < 1.8)

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

The probability density function of X is `f(x) = {(x, 0 < x < 1),(2 - x, 1 ≤ x ≤ 2),(0, "otherwise"):}`
Find P(0.5 ≤ X < 1.5)

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

Suppose the amount of milk sold daily at a milk booth is distributed with a minimum of 200 litres and a maximum of 600 litres with probability density function
`f(x) = {{:(k, 200 ≤ x ≤ 600),(0, "otherwise"):}`
Find the value of k

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

Suppose the amount of milk sold daily at a milk booth is distributed with a minimum of 200 litres and a maximum of 600 litres with probability density function
`f(x) = {{:(k, 200 ≤ x ≤ 600),(0, "otherwise"):}`
Find the distribution function

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

Suppose the amount of milk sold daily at a milk booth is distributed with a minimum of 200 litres and a maximum of 600 litres with probability density function
`f(x) = {{:(k, 200 ≤ x ≤ 600),(0, "otherwise"):}`
Find the probability that daily sales will fall between 300 litres and 500 litres?

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

The probability density function of X is given by
`f(x) = {(k"e"^(- x/3), "for"  x > 0),(0,"for"  x ≤ 0):}`
Find the value of k 

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

The probability density function of X is given by
`f(x) = {(k"e"^(- x/3), "for"  x > 0),(0,"for"  x ≤ 0):}`
Find the distribution function

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

The probability density function of X is given by
`f(x) = {(k"e"^(- x/3), "for"  x > 0),(0,"for"  x ≤ 0):}`
Find P(X < 3)

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

The probability density function of X is given by
`f(x) = {(k"e"^(- x/3), "for"  x > 0),(0,"for"  x ≤ 0):}`
Find P(5 ≤ X)

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

The probability density function of X is given by
`f(x) = {(k"e"^(- x/3), "for"  x > 0),(0,"for"  x ≤ 0):}`
Find P(X ≤ 4)

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

If X is the random variable with probability density function f(x) given by,
`f(x) = {{:(x + 1",", -1 ≤ x < 0),(-x +1",",   0 ≤ x < 1),(0, "otherwise"):}`
then find the distribution function F(x)

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

If X is the random variable with probability density function f(x) given by,
`f(x) = {{:(x + 1",", -1 ≤ x < 0),(-x +1",",   0 ≤ x < 1),(0, "otherwise"):}`
then find P(– 0.5 ≤ x ≤ 0.5)

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

If X is the random variable with distribution function F(x) given by,
F(x) = `{{:(0",", - oo < x < 0),(1/2(x^2 + x)",", 0 ≤ x ≤ 1),(1",", 1 ≤ x < oo):}`
then find the probability density function f(x)

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

If X is the random variable with distribution function F(x) given by,
F(x) = `{{:(0",", - oo < x < 0),(1/2(x^2 + x)",", 0 ≤ x ≤ 1),(1",", 1 ≤ x < oo):}`
then find P(0.3 ≤ X ≤ 0.6)

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

Choose the correct alternative:

Let X be random variable with probability density function
`f(x) = {(2/x^3, x ≥ 1),(0, x < 1):}`
Which of the following statement is correct?

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

Choose the correct alternative:

A rod of length 2l is broken into two pieces at random. The probability density function of the shorter of the two pieces is 
`f(x) = {{:(1/l, 0 < x < l),(0, l ≤ x < 2l):}`
The mean and variance of the shorter of the two pieces are respectively

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