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Tamil Nadu Board of Secondary EducationHSC Commerce इयत्ता १२

HSC Commerce इयत्ता १२ - Tamil Nadu Board of Secondary Education Question Bank Solutions for Business Mathematics and Statistics

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Business Mathematics and Statistics
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The discrete random variable X has the following probability function.
P(X = x) = `{{:("k"x,  x = 2","  4","  6),("k"(x - 2),  x = 8),(0,  "otherwise"):}`
where k is a constant. Show that k = `1/18`

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Two coins are tossed simultaneously. Getting a head is termed a success. Find the probability distribution of the number of successes

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

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The discrete random variable X has the probability function.

Value
of X = x
0 1 2 3 4 5 6 7
P(x) 0 k 2k 2k 3k k2 2k2 7k2 + k

Find k

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

The discrete random variable X has the probability function.

Value
of X = x
0 1 2 3 4 5 6 7
P(x) 0 k 2k 2k 3k k2 2k2 7k2 + k

Evaluate p(x < 6), p(x ≥ 6) and p(0 < x < 5)

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

The discrete random variable X has the probability function.

Value
of X = x
0 1 2 3 4 5 6 7
P(x) 0 k 2k 2k 3k k2 2k2 7k2 + k

If P(X ≤ x) > `1/2`, then find the minimum value of x.

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

The distribution of a continuous random variable X in range (– 3, 3) is given by p.d.f.
f(x) = `{{:(1/16(3 + x)^2",", - 3 ≤ x ≤ - 1),(1/16(6 - 2x^2)",", - 1 ≤ x ≤ 1),(1/16(3 - x)^2",", 1 ≤ x ≤ 3):}`
Verify that the area under the curve is unity.

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

A continuous random variable X has the following distribution function
F(x) = `{{:(0",",  "if"  x ≤ 1),("k"(x - 1)^4",",  "if"  1 < x ≤ 3),(1",",  "if"  x > 3):}`
Find k

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

A continuous random variable X has the following distribution function
F(x) = `{{:(0",",  "if"  x ≤ 1),("k"(x - 1)^4",",  "if"  1 < x ≤ 3),(1",",  "if"  x > 3):}`
Find the Probability density function

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

The length of time (in minutes) that a certain person speaks on the telephone is found to be random phenomenon, with a probability function specified by the probability density function f(x) as 
f(x) = `{{:("Ae"^((-x)/5)",",  "for"  x ≥ 0),(0",",  "otherwise"):}`
Find the value of A that makes f(x) a p.d.f.

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

The length of time (in minutes) that a certain person speaks on the telephone is found to be random phenomenon, with a probability function specified by the probability density function f(x) as 
f(x) = `{{:("Ae"^((-x)/5)",",  "for"  x ≥ 0),(0",",  "otherwise"):}`
What is the probability that the number of minutes that person will talk over the phone is (i) more than 10 minutes, (ii) less than 5 minutes and (iii) between 5 and 10 minutes

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Suppose that the time in minutes that a person has to wait at a certain station for a train is found to be a random phenomenon with a probability function specified by the distribution function

F(x) = `{{:(0",",  "for"  x ≤ 0),(x/2",",  "for"  0 ≤ x < 1),(1/2",",  "for" ≤ x < 2),(x/4",",  "for"  2 ≤ x < 4),(1",",  "for"  x ≥ 4):}` 
Is the distribution function continuous? If so, give its probability density function?

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Suppose that the time in minutes that a person has to wait at a certain station for a train is found to be a random phenomenon with a probability function specified by the distribution function

F(x) = `{{:(0",",  "for"  x ≤ 0),(x/2",",  "for"  0 ≤ x < 1),(1/2",",  "for" ≤ x < 2),(x/4",",  "for"  2 ≤ x < 4),(1",",  "for"  x ≥ 4):}` 
What is the probability that a person will have to wait (i) more than 3 minutes, (ii) less than 3 minutes and (iii) between 1 and 3 minutes?

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Define random variable

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Explain what are the types of random variable?

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Define dicrete random Variable

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

What do you understand by continuous random variable?

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Describe what is meant by a random variable

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Distinguish between discrete and continuous random variables.

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Explain the distribution function of a random variable

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined

Explain the terms probability Mass function

[6] Random Variable and Mathematical Expectation
Chapter: [6] Random Variable and Mathematical Expectation
Concept: undefined >> undefined
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