The normal distribution is what results when we plot the activity of a random process. [Here’s](https://www.youtube.com/shorts/Vo9Esp1yaC8) a really good physical example of how a normal distribution works. Most of the little balls fall in the middle, few fall at the outer extremes. If you graphed how long it takes you to get to work (or school) every day, it would look like a normal distribution. The average time (highest point in the middle) might be 15 minutes. Sometimes it will be slower (accidents) and sometimes it will be faster (you hit all the green lights).
Statisticians use formulas to generate normal curves. We know how many observations there will be a certain distance to the right or left of the mean (center). This helps us decide if the particular process we’re looking at is random or not random.
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