🎥 First Urban Theory’s video tutorial 🙌🏻 Tag us in your videos where you try the moves by using the hashtag #urbantutorial 📐
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MathVibes 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 ⁠σ (sigma). A random variable
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