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| Name | All that you need to know | Solved Examples | Empirical Rule | Area under the curve | Data Science |
| Video Uploader | Video From Six Sigma Pro SMART |
| Upload Date | This Video Uploaded At 02-06-2023 14:30:12 |
| Video Discription | Welcome to our comprehensive guide on the Normal Distribution! In this video, we delve into the key characteristics, and problems involving the area under the curve. Whether you're a student, data enthusiast, or simply curious about statistics, this video is the right video for you! Learn about the Normal Distribution's shape, symmetry, and discover why it is a crucial probability distribution. Explore the Empirical Rule, also known as the 68-95-99.7 rule, and gain valuable insights into the proportions of data falling within specific standard deviation intervals. Unlock the ability to solve problems related to the area under the curve using Z-tables, Excel, and Python. Navigate the Z-tables to find probabilities associated with specific values or ranges in a Normal Distribution. Utilize Excel's built-in functions to calculate probabilities and determine percentiles, while optimizing your workflow. Dive into the world of Python's powerful libraries like scipy, simplifying complex calculations and enhancing your understanding. Whether you prefer manual calculations, the convenience of Excel, or the versatility of Python, this video equips you with problem-solving techniques and empowers you to tackle statistical challenges confidently. Develop a solid grasp of the Normal Distribution and gain the skills to conquer probabilities effortlessly. Join us as we demystify the Normal Distribution and unveil its secrets in statistics and data analysis. Don't forget to subscribe and turn on notifications for updates on our channel. Get ready to master the Normal Distribution with ease! |
| Category | Education |
| Tags | normal distribution | gaussian distribution | bell curve | empirical rule | properties of normal distribution | area under the curve | scipy | norm.dist | norm.inv | probability | stats.norm.cdf | cumulative distribution function |
