Which "mean" to use and when? - Cross Validated
So we have arithmetic mean (AM), geometric mean (GM) and harmonic mean (HM). Their mathematical formulation is also well known along with their associated stereotypical …
Difference in Means vs. Mean Difference - Cross Validated
Apr 29, 2015 · the distribution of the mean difference should be tighter then the distribution of the difference of means. See this with an easy example: mean in sample 1: 1 10 100 1000 mean …
Why is Standard Deviation preferred over Absolute Deviations …
Jan 7, 2025 · The mean is the number that minimizes the sum of squared deviations. Absolute mean deviation achieves point (1), and absolute median deviation achieves both points (1) …
"Difference of the means" vs "mean of differences"
Nov 5, 2024 · To put it very simply, you use the mean of differences, when there is a natural pairing between your 2 groups. eg you give people a new toothpaste to try out and you …
What is implied by standard deviation being much larger than the …
What does it imply for standard deviation being more than twice the mean? Our data is timing data from event durations and so strictly positive. (Sometimes very small negatives show up …
What is the difference between "mean value" and "average"?
The mean you described (the arithmetic mean) is what people typically mean when they say mean and, yes, that is the same as average. The only ambiguity that can occur is when …
Mean absolute deviation vs. standard deviation - Cross Validated
Jan 13, 2014 · After calculating the "sum of absolute deviations" or the "square root of the sum of squared deviations", you average them to get the "mean deviation" and the "standard …
mean - "Averaging" variances - Cross Validated
May 6, 2017 · I need to obtain some sort of "average" among a list of variances, but have trouble coming up with a reasonable solution. There is an interesting discussion about the differences …
Understanding semi supervised technique called mean teachers
The way mean teacher does this is by averaging the model parameters over training steps. (Arguably, dropout also adds noise to the model parameters, and thus is another way of …
standard deviation - Can I use 'mean ± SD' for non-negative data …
May 8, 2023 · "Can I use 'mean ± SD' for non-negative data when SD is higher than mean?" clearly you can (you already managed it in the question), the issue is more should you do so. …