हिंदी
तमिलनाडु बोर्ड ऑफ सेकेंडरी एज्युकेशनएचएससी वाणिज्य कक्षा १२

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 - Business Mathematics and Statistics

Advertisements
Advertisements

प्रश्न

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.

योग

उत्तर

Since f(x) is a probability density Function

`int_(-oo)^oo "f"(x)  "d"x` = 1

Here `int_0^oo "Ae"^((-x)/5)  "d"x` = 1

`"A"(int "e"^((-x)/5)/(((-1)/5)))_0^oo` = 1

`- 5"A"("e"^((-x)/5))` = 1

` - 5["e"^-oo - "e"^0]` = 1

`- 5"A"(0 - 1)` = 1

5A = 1

⇒ A = `1/5`

shaalaa.com
Random Variable
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 6: Random Variable and Mathematical expectation - Exercise 6.1 [पृष्ठ १३३]

APPEARS IN

सामाचीर कलवी Business Mathematics and Statistics [English] Class 12 TN Board
अध्याय 6 Random Variable and Mathematical expectation
Exercise 6.1 | Q 9. (a) | पृष्ठ १३३

संबंधित प्रश्न

Suppose X is the number of tails occurred when three fair coins are tossed once simultaneously. Find the values of the random variable X and number of points in its inverse images


In a pack of 52 playing cards, two cards are drawn at random simultaneously. If the number of black cards drawn is a random variable, find the values of the random variable and number of points in its inverse images


Construct cumulative distribution function for the given probability distribution.

X 0 1 2 3
P(X = x) 0.3 0. 0.4 0.1

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


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?


Explain the terms probability density function


What are the properties of discrete random variable


Choose the correct alternative: 

A variable which can assume finite or countably infinite number of values is known as


The probability function of a random variable X is given by
p(x) = `{{:(1/4",",  "for"  x = - 2),(1/4",",  "for"  x = 0),(1/2",",  "for"  x = 10),(0",",  "elsewhere"):}`
Evaluate the following probabilities
P(0 ≤ X ≤ 10)


The probability density function of a continuous random variable X is
f(x) = `{{:("a" + "b"x^2",",  0 ≤ x ≤ 1),(0",",  "otherwise"):}`
where a and b are some constants. Find a and b if E(X) = `3/5`


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×