Explain the concept of normal distribution. Explain divergence from normality.

Normal Distribution:

The normal distribution, also known as the Gaussian distribution or bell curve, is a fundamental concept in statistics and psychology. It describes the probability distribution of a continuous random variable that is symmetrically distributed around its mean. In a normal distribution:

1. Symmetry: The distribution is symmetric, meaning the shape of the curve is the same on both sides of the mean.

2. Mean, Median, and Mode: In a normal distribution, the mean, median, and mode are all equal and located at the center of the distribution.

3. Bell-shaped Curve: The curve is bell-shaped, with the highest point at the mean, and it gradually slopes downwards on _________ _______ ________ ___ ______ ______ ___ _____ ___ ____ ____.
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