  ## How to Use Probability Distribution to Understand Your Data Critically

##### Taking into consideration all of the questions above, it is better to have an overview of the use of histogram as this can directly answer them. Try to look at this histogram: ##### By definition, discrete probability describes the probability of occurrence of each value of a discrete random variable. Bear in mind that discrete random variable always has countable values. This is there reason why the best way to present this is through a table. Colloquially speaking, this is based on chances. For example, in tossing a coin, there is fifty percent (50%) chance of getting a tail. Understanding the unsaid, there is also 50 percent (50%) chance of getting a tail. This is called binary distribution. ##### If there are 6 six persons who are tasked to roll a dice to get number 6, each one of them has 1/6 chance of getting number 6. What is distinct about this kind is that when you add all the values of all probabilities, you can always arrive at one. Consider the table below: #### CONTINUOUS DISTRIBUTION

##### Let’s take the following example that describes the height of American women (ages 30-39): 