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@that_cold_gsxr: Grow up fast
That cold gsxr
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Region: US
Tuesday 23 March 2021 20:54:11 GMT
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Gaussian distribution The Gaussian distribution, also known as the normal distribution, is a way to describe the pattern of values that fall around a central average or mean value. Imagine plotting all the possible outcomes of a certain event on a graph, with the most likely outcomes being in the middle and the less likely outcomes tapering off toward the edges. It's widely used because many natural phenomena, like heights, weights, and test scores, follow this pattern. The mean of a Gaussian distribution is like the center point or the average value around which the data clusters. It's where the graph peaks. For example, if you're looking at the distribution of heights in a population, the mean height would be the average height of everyone. The standard deviation is a measure of how spread out the values are around the mean. If the standard deviation is small, it means most of the data points are close to the mean, resulting in a tall, narrow curve. If the standard deviation is large, it means the data points are more spread out from the mean, resulting in a flatter, wider curve. So, when you adjust the mean, you're shifting the entire distribution left or right on the graph. When you adjust the standard deviation, you're changing how spread out the data points are around the mean. #math #mathematics #LearnOnTikTok
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