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So if you want a bell curve chart, you first have to enter the right data. In this tutorial, we select a range of numbers corresponding to a Mean average and a Standard Deviation. After applying Excel's Normal Distribution function to those numbers, Excel gives you a perfectly-formed bell curve.
Selection pressures usually cause a narrowing of the bell-shaped curve distributions of traits in populations. The genes interact with environmental influences, which also have a certain degree of randomness. The result is a massive combined randomness. It is this massive randomness that leads to the bell-curve distribution. The bell curve itself is not random at all, which is a fascinating aspect of this phenomenon. From âchaosâ comes âorderâ. A bell curve is a well-defined curve that is associated with a function, the probability density function. The underlying mathematical reason for the bell shape is the central limit theorem. The genes are combined in different individuals as combinations of alleles, where each allele is a variation (or mutation) of a gene.