मराठी
तामिळनाडू बोर्ड ऑफ सेकेंडरी एज्युकेशनएचएससी विज्ञान इयत्ता १२

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 - Mathematics

Advertisements
Advertisements

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

तक्ता
बेरीज
Advertisements

उत्तर

Let X is the random variable that denotes the number of tails when three coins are tossed simultaneously.

Sample space S = {HHH, HHT, HTH, HTT, THH, THT, TTH, TTT}

∴ ‘X’ takes the values 0, 1, 2, 3

i.e., (HHH) = 0 

X(HHT, HTH, THH) = 1 

X(HTT, THT, TTH) = 2 

X(TTT) = 3

Values of the random variable 0 1 2 3 Total
Number of elements in inverse image 1 3 3 1 8
shaalaa.com
Random Variable
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 11: Probability Distributions - Exercise 11.1 [पृष्ठ १८४]

APPEARS IN

सामाचीर कलवी Mathematics - Volume 1 and 2 [English] Class 12 TN Board
पाठ 11 Probability Distributions
Exercise 11.1 | Q 1 | पृष्ठ १८४

संबंधित प्रश्‍न

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`


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.


Explain what are the types of random variable?


What do you understand by continuous random variable?


Describe what is meant by a random variable


Explain the distribution function of a random variable


Explain the terms probability density function


What are the properties of discrete random variable


Choose the correct alternative:

A variable that can assume any possible value between two points is called


Choose the correct alternative:

If c is a constant in a continuous probability distribution, then p(x = c) is always equal to


Choose the correct alternative: 

Which one is not an example of random experiment?


Choose the correct alternative: 

The probability function of a random variable is defined as

X = x – 1 – 2 0 1 2
P(x) k 2k 3k 4k 5k

Then k is equal to


Choose the correct alternative: 

In a discrete probability distribution, the sum of all the probabilities is always equal to


Choose the correct alternative: 

The probability density function p(x) cannot exceed


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(|X| ≤ 2)


Let X be a random variable with a cumulative distribution function.
F(x) = `{{:(0",",  "if"  x  < 0),(x/8",",  "if"  0 ≤ x ≤ 1),(1/4 + x/8",",  "if"  1 ≤ x ≤ 2),(3/4 + x/12",",  "if"  2 ≤ x < 3),(1",",  "for"  3 ≤ x):}`
Compute: (i) P(1 ≤ X ≤ 2) and (ii) P(X = 3)


The probability distribution function of a discrete random variable X is
f(x) = `{{:(2k",",  x = 1),(3k",",  x = 3),(4k",", x = 5),(0",",  "otherwise"):}`
where k is some constant. Find k 


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×