Mean and Variance of Normal Distribution | Continuous Probability Distributions
The video gives a complete explanation to the mean and variance of the Continuous Normal Distribution. In this video, you'll learn how to Derive the mean (μ) of the Continuous Normal Distribution and variance (σ²) of the Continuous Normal Distribution. You'll also learn how to to write the Probability Density Function (PDF) of the Continuous Normal Distribution. This Statistical tutorial will give you a good understanding of all you need to know about Mean and Variance of the Continuous Normal Distribution.
By the end of this video, you will have a solid understanding of how to compute and interpret the Mean and Variance of a Continuous Normal Distribution, and why these two parameters are so important in Statistics and Probability theory.
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