Normal distribution, also known as the Gaussian distribution or bell curve, is one of the most important probability distributions in statistics. It’s characterized by its symmetric, bell-shaped curve, where the majority of data points cluster around the mean. In Python, you can work with normal distributions primarily using the Scipy. stats module (for statistical functions) and Numpy (for numerical operations, especially for generating random numbers). Matplotlib is commonly used for visualization. Here’s a breakdown of how to work with normal distribution in Python: 1. Generating Random Numbers...

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