When learning about the Central Limit Theorem, the way that I simplified it in my head is that it is sometimes very difficult/impractical to measure everyone or thing inside of a group. CLT states that if we can measure a large number of smaller groups, while the results from group to group may be different, when viewed as a whole, the averages will behave in a normal distribution. As an example; 30 people are given an ingredients list to make a batch of cookies. They are given the list of ingredients to use, but a recipe or amount isn't specified. One can assume that the individuals will make the cookies slightly different, with each batch having a unique flavor, but if you were to mix up all of the batches, you could get an average of what a standard flavor or size of the cookie would be. If you then graphed the size and flavor of all of the cookies, they would distribute in a normal distribution with most averages being close to the average flavor and size and fewer being significantly different