Suppose $X$ is a random variable that takes values in $[0,1].$ Is it that the probability distribution of $X$ is defined on $[0,1]$ or whole $R$?
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The probability distribution is defined on the whole of $\mathbb{R}$. Also, you need to understand that, this is given by an integral or sum depending on what $X$ is, whose limits are usually taken to be from $-\infty$ to $x \in \mathbb R$. In general, any function $F$ is a distribution function if it satisfies the following properties:
And, it can be shown that, given $F$ with above properties, there exists a probability space $(\Omega, \mathscr A, P)$ on which a random variable $X$ exists such that $X$ has $F$ as its distribution. |
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There is not a lot of difference. With a probability space $(\Omega, \mathscr A, P)$, the sample space $\Omega$ must contain all possible events; whether it includes impossible ones too does not matter much so long as you are clear. If the distribution is defined on the whole of $\mathbb{R}$ but values cannot be less than 0 or more than 1, then you can ignore both of these possibilities. If you keep them then $\Pr(X\lt 0)=0$ and $\Pr(X\gt 1)=0$. |
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@Kannappan Sampath has given you all the properties of the distribution function but not really explained what the distribution function is or why it is defined for all $x$. The value of the distribution function $F(x)$ is the probability that the random variable $X$ is no larger than $x$:
For every random variable $X$, $F(x)$ is defined for all real numbers
$x$. Your particular $X$ takes on values between $0$ and $1$ only,
but we can still talk of $P\{X \leq 5\}$ and say that its value is $1$. |
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