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The document explains the concept of normal distribution, characterized by mean and variance, and illustrates its applications through examples such as height, dice rolling, coin tossing, IQ, birth weight, and academic performance. It describes the properties of the normal distribution curve, including its bell shape, symmetry, and how standard normal distribution is derived. Key probabilities and areas under the curve are also discussed, along with the significance of standard deviations in understanding population data.












