Variance of a population
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Khan AcademySal Khan
Variance of a population
Population variance is a measure of how spread out a group of data points is. Specifically, it quantifies the average squared deviation from the mean. So, if all data points are very close to the mean, the variance will be small; if data points are spread out over a wide range, the variance will be larger.
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@gamma.mathematica on Instagram: "✨️Code link in bio✨️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)) 📐\n\nThe 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 distribu
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@gamma.mathematica on Instagram: "✨️Code link in bio✨️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)) 📐\n\nThe 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 distribu
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