Introduction to define random variable:
The random variable is the measurable function which maps the measure space and the probability space in the mathematics. The random variable maps all the possible outcomes for the event. The random variable is the variable that takes the values in the random manner. The random variables are of two types. They are the discrete (countable) random variable and continuous random variable. The discrete random variable has the countable values. The continuous random variables are defined in the particular given interval. This article has the information about the define random variable.
Discrete Random Variable- Defines Random Variable:
• Discrete random variable takes only the countable set of the values.
• The value for the discrete random variable takes from 0 to 1.
• The sun of the discrete random variable is 1.
• The discrete random variable has the probability values greater than zero or it may be equal to zero.
• The example for the discrete random variable is 0.2, 0.4, 0.3, 0.1.
• In this above example the values are from 0 to 1.
• In the above example the sum for the random variable is 1.
• 0.2 + 0.4 +0.3 + 0.1 = 1.
• The discrete random variable is used in the probability and the statistics.I like to share this Linear Inequalities in Two Variables with you all through my article.
Continuous Random Variable- Defines Random Variable:
• Continuous random variable is defines the function for the interval.
• The continuous random variable has the value of the uncountable set of the values.
• Continuous random variable has the infinite set of the data.
• The probability for the any specific value in the continuous random variable is zero.
• The examples for the continuous random variable is f(x) = x-1 -`oo` to 12.
• In the above example the given function is well defined in the interval -`oo` to the value 12.
• So that it has the infinite set of the data.
The random variable is the measurable function which maps the measure space and the probability space in the mathematics. The random variable maps all the possible outcomes for the event. The random variable is the variable that takes the values in the random manner. The random variables are of two types. They are the discrete (countable) random variable and continuous random variable. The discrete random variable has the countable values. The continuous random variables are defined in the particular given interval. This article has the information about the define random variable.
Discrete Random Variable- Defines Random Variable:
• Discrete random variable takes only the countable set of the values.
• The value for the discrete random variable takes from 0 to 1.
• The sun of the discrete random variable is 1.
• The discrete random variable has the probability values greater than zero or it may be equal to zero.
• The example for the discrete random variable is 0.2, 0.4, 0.3, 0.1.
• In this above example the values are from 0 to 1.
• In the above example the sum for the random variable is 1.
• 0.2 + 0.4 +0.3 + 0.1 = 1.
• The discrete random variable is used in the probability and the statistics.I like to share this Linear Inequalities in Two Variables with you all through my article.
Continuous Random Variable- Defines Random Variable:
• Continuous random variable is defines the function for the interval.
• The continuous random variable has the value of the uncountable set of the values.
• Continuous random variable has the infinite set of the data.
• The probability for the any specific value in the continuous random variable is zero.
• The examples for the continuous random variable is f(x) = x-1 -`oo` to 12.
• In the above example the given function is well defined in the interval -`oo` to the value 12.
• So that it has the infinite set of the data.
No comments:
Post a Comment