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0:48
YouTube
CONTENT-ACADEMY
How to Calculate Variance
In this video, we explain how to calculate Variance of a Random Variable — one of the most important concepts in probability and statistics. In this video, you'll learn how to write the formula for variance of a discrete random variable. You'll also learn, How to calculate Variance of a Random Variable with solved examples and full ...
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Mathematisa | Math Animations on Instagram: "In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is f(x) = 1/√(2πσ²) e^(-(x-μ)²/(2σ²)) 📐 The parameter μ (mu) is the mean or expectation of the distribution (and also its median and mode), while the parameter σ² is the variance. The standard deviation of the distribution is
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