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The normal distribution is a “continuous probability distribution that is symmetrical on both sides of the mean, so the right side of the center is a mirror image of the left side.” (Mcleod, 2019) The area under the normal distribution curve represents probability and the total area under the curve sums to one. (Mcleod, 2019) The normal distribution has two parameters, the mean (μ) and the standard deviation (σ). Meaning that if there is a change in the standard deviation, it can cause a change in the shape of the normal curve and it can become fatter and wider or skinnier and taller depending on the change in standard deviation. Normal distribution is symmetrical and shaped a bit like a bell (Bell Curve). (Holmes, Illowsky & Dean, 2017)
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