# What is a continuous probability distribution?

Recall that the definition of the word `distribution’ refers to how something is shared out in a group or how it is spread out over an area.

Let X be a random variable – a variable whose possible values are the outcomes of a random event. X could be a continuous random variable where it can take on not just discrete values but anything in between. In this case, consider the random variable X whose value is the weight of a survey participant randomly selected in public. This is an example of a continuous random variable (although values outside of typical are more unlikely, the possible values are continuous and not as finite as the discrete case illustrated above).

# The Normal Distribution

Coming Soon

# Using the Normal Distribution to approximate the Binomial Distribution

Coming Soon