The normal distribution, also known as the Gaussian distribution, is the most important probability distribution in statistics for independent, random variables. Most people recognize its familiar bell-shaped curve in statistical reports.
The normal distribution is a continuous probability distribution that is symmetrical around its mean, most of the observations cluster around the central peak, and the probabilities for values further away from the mean taper off equally in both directions. Extreme values in both tails of the distribution are similarly unlikely. As with any probability distribution, the normal distribution describes how the values of a variable are distributed.
Most of the human beings measurements, follow the Normal Distribution. These are some examples in real life that follow the Normal distribution:
1) Shoe size.
2) The weight of the babies.
3) The income of the population.
4) The height.
Can you describe another real life example of the Normal Distribution?
