Let us learn about random variables
If is often very important to allocate a numerical value to an outcome of a random experiment. For example consider an experiment of tossing a coin twice and note the number of heads (x) obtained.
If is often very important to allocate a numerical value to an outcome of a random experiment. For example consider an experiment of tossing a coin twice and note the number of heads (x) obtained.
Outcome : HH HT TH TT
No. of heads (x) : 2 1 1 0
x is called a random variable, which can assume the values 0, 1 and 2. Thus random variable is a function that associates a real number to each element in the sample space.
Random variable (r.v)
Let S be a sample space associated with a given random experiment.
A real valued function X which assigns to each wi Î S, a unique real number.
X(∞i) = Xi is called a random variable
Note:
There can be several r.v's associated with an experiment.
A random variable which can assume only a finite number of values or countably infinite values is called a discrete random variable.
e.g., Consider a random experiment of tossing three coins simultaneously. Let X denote the number of heads then X is a random variable which can take values 0, 1, 2, 3.
Continuous random variable
A random variable which can assume all possible values between certain limits is called a continuous random variable.
In our next blog we shall learn about factoring quadratics I hope the above explanation was useful.Keep reading and leave your
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