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"### ML, Data Analysis\n",
"#### Continuous random variables and their distirbutions\n",
"In this notebook, we express about Continuous Random Variables with an example from *Continuous uniform distribution*.\n",
"
**Definition:** *Random variables* are *continuous* when their range is **uncountably infinite**. In other words, when we measure things such as speed,voltage, temperature, profit, and etc.\n",
"
**Reminder:** A set is *countable* if the number of its elements is not greater than that of the *natural numbers*. As a result, any interval of real numbers is infinite and uncountable. \n",
"
**Contents:**\n",
"- Defining the *distribution function* for continuous uniform distribution..\n",
"- Defining the *probability (density) function* for continuous uniform distribtuion.\n",
"- An example to compute a probability for the continuous uniform distribution.\n",
"