Today we are going to discuss about the variables in statistics that are defined in two types as random variables and continuous variables and these discrete variables or continuous variable are further divided in discrete random variables and continuous random variables .So in this blog we are mainly focusing on the discrete random variables and continuous random variables. Also see What is a Dependent Variable?
Discrete random variables are categorize as the persons, Objects or events that are define according to the kind of quality their characteristics .It is also define as a random variable that have the finite number of values .It can be explained by an example as if you flip a coin six times then how many chances of occurrence of tail then answer of this question is define through the discrete random variable.
If we talk about the continuous random variable then it is define as the random variable that have the infinite number of values Or a continuous random variable is define as a variable that have the infinite number of possibilities of occurrence of possible numerical values that are usually the measurement of an object .
It will also be explained through the example as speed of a car (miles per hour) first time drive by your house then it will be defined through the variable that have the infinite number of values as a car can going on 23 mile per hour or 67 mile per hour or 34 .0065 mile per hour etc .So the variable that is speed can take infinite number of values for define speed. For more see this
Or if we talk about any experiment that is related to the testing for time taken by that task then for a defined sample space S if there is a random variable x then x (s) represents the height of the person that is less than 5 and greater than 1 then the value for the variable is define as 1 < x (s) < 5 so for that random variable there is infinite number of values so x is define as the continuous random variable
In upcoming posts we will discuss about Line of best fit - least squares regression and Trigonometry. Visit our website for information on West Bengal class 12 syllabus
Discrete random variables are categorize as the persons, Objects or events that are define according to the kind of quality their characteristics .It is also define as a random variable that have the finite number of values .It can be explained by an example as if you flip a coin six times then how many chances of occurrence of tail then answer of this question is define through the discrete random variable.
If we talk about the continuous random variable then it is define as the random variable that have the infinite number of values Or a continuous random variable is define as a variable that have the infinite number of possibilities of occurrence of possible numerical values that are usually the measurement of an object .
It will also be explained through the example as speed of a car (miles per hour) first time drive by your house then it will be defined through the variable that have the infinite number of values as a car can going on 23 mile per hour or 67 mile per hour or 34 .0065 mile per hour etc .So the variable that is speed can take infinite number of values for define speed. For more see this
Or if we talk about any experiment that is related to the testing for time taken by that task then for a defined sample space S if there is a random variable x then x (s) represents the height of the person that is less than 5 and greater than 1 then the value for the variable is define as 1 < x (s) < 5 so for that random variable there is infinite number of values so x is define as the continuous random variable
In upcoming posts we will discuss about Line of best fit - least squares regression and Trigonometry. Visit our website for information on West Bengal class 12 syllabus
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