Will every population always converge to a “middle” that contains greatest amounts of whatever is being measured with “increasing” number of traits on wither side in order to make a bell curve visual distribution?

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Or are there populations where the curve graphs will converge on either end instead of the middle? Is it a fixed rule in Statistics that we “should” always have a bell curve distribution? If not, why does it seem like my data must make a bell curve distribution? Is it a rule in nature that that are greatest amounts of something in a group while slope downwards by number and value of trait towards the gretest middle and from it downwards? What is the special trait about the bell curve that it is underscored so much?

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Anonymous 0 Comments

A simple way to understand a bell curve is to think of a pair of dice. One die has a flat distribution. The other die has a flat distribution. But when you add them together you find that 7 is far more common than 2 or 12. It looks like a bell curve.

Life is complicated and something like height is affected by a lot of different factors. There are many different genes involved. There are different kinds if food in different amounts. Even if the factors that contribute to height were flat the result the get when combined would look like a bell curve.

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