In elementary statistics textbooks, the normal distribution is heavily relied upon to describe many different populations of data. Although many random processes do appear to look like normal distributions most of the time, real-life tends to be more complex. Stock market returns are a prime example of a distribution that can look fairly normal but in actuality be quite far off.