SD and Variance - Another formula (Application)
4:49
Khan AcademyAshish Gupta
SD and Variance - Another formula (Application)
In this video, we demonstrate how to apply the alternative formula for calculating standard deviation. We'll work through an example with discrete data, constructing a table to find N (total frequency), the sum of (f times x), and the sum of (f times x squared). Then, we'll plug these values into the alternative formula to efficiently find the ...
4 months ago
Variance Probability Theory
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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
0:22
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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