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HSC Science (Electronics) 12th Standard Board Exam - Maharashtra State Board Important Questions

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State the degree of differential equation `e^((dy)/(dx)) + (dy)/(dx)` = x

Appears in 1 question paper
Chapter: [13] Differential Equations
Concept: Order and Degree of a Differential Equation

Form the differential equation of y = (c1 + c2)ex 

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Chapter: [13] Differential Equations
Concept: Formation of Differential Equations

Solve the differential equation `("d"y)/("d"x) + y` = e−x 

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Chapter: [13] Differential Equations
Concept: Differential Equations

Solve the differential equation (x2 – yx2)dy + (y2 + xy2)dx = 0

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Chapter: [13] Differential Equations
Concept: Differential Equations

Find the differential equation by eliminating arbitrary constants from the relation x2 + y2 = 2ax

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Chapter: [13] Differential Equations
Concept: Formation of Differential Equations

Solve: `("d"y)/("d"x) + 2/xy` = x2 

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Chapter: [13] Differential Equations
Concept: Differential Equations

Write the degree of the differential equation (y''')2 + 3(y") + 3xy' + 5y = 0

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Chapter: [13] Differential Equations
Concept: Order and Degree of a Differential Equation

Solve the differential equation

`y (dy)/(dx) + x` = 0

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Chapter: [13] Differential Equations
Concept: Differential Equations

Form the differential equation of all lines which makes intercept 3 on x-axis.

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Chapter: [13] Differential Equations
Concept: Formation of Differential Equations

Find the particular solution of the differential equation `dy/dx` = e2y cos x, when x = `π/6`, y = 0

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Chapter: [13] Differential Equations
Concept: Solution of a Differential Equation

A particle is moving along the X-axis. Its acceleration at time t is proportional to its velocity at that time. Find the differential equation of the motion of the particle.

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Chapter: [13] Differential Equations
Concept: Formation of Differential Equations

Solve:

`1 + (dy)/(dx) = cosec (x + y)`; put x + y = u.

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Chapter: [13] Differential Equations
Concept: Solution of a Differential Equation

The time (in minutes) for a lab assistant to prepare the equipment for a certain experiment is a random variable taking values between 25 and 35 minutes with p.d.f 

`f(x) = {{:(1/10",", 25 ≤ x ≤ 35),(0",", "otherwise"):}`

What is the probability that preparation time exceeds 33 minutes? Also, find the c.d.f. of X.

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

The expected value of the number of heads obtained when three fair coins are tossed simultaneously is

(A) 1

(B) 1.5

(C) 0

(D) -1

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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables >> Expected Value and Variance of a Random Variable

The probability distribution of X, the number of defects per 10 metres of a fabric is given by

x 0 1 2 3 4
P(X = x) 0.45 0.35 0.15 0.03 0.02

Find the variance of X

 

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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables >> Expected Value and Variance of a Random Variable

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 ________.

Appears in 1 question paper
Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables >> Expected Value and Variance of a Random Variable

Find the variance and standard deviation of the random variable X whose probability distribution is given below :

x 0 1 2 3
P(X = x) `1/8` `3/8` `3/8` `1/8`
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Chapter: [14] Probability Distributions
Concept: Probability Distribution of Discrete Random Variables >> Expected Value and Variance of a Random Variable

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

Two cards are drawn simultaneously (or successively without replacement) from a well shuffled pack of 52 cards. Find the mean, variance and standard deviation of the number of kings drawn.

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

For the following probability density function of a random variable X, find P(X < 1).

`{:(f(x) = (x + 2)/18,";"  "for" -2 < x < 4),(               = 0,","  "otherwise"):}`

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