It’s essentially a measure of how spread out the values in a dataset are from the mean. To calculate it, you’d typically find the difference between each data point and the mean, square those differences, then take the average of those squared differences, and finally, take the square root of that average. It might seem convoluted, but with practice, it becomes clearer.
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