安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
|
- 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 examples (e g , Harmonic mea
- What is implied by standard deviation being much larger than the mean?
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 due to clock
- mean - Averaging variances - Cross Validated
Context is everything here Are these theoretical variances (moments of distributions), or sample variances? If they are sample variances, what is the relation between the samples? Do they come from the same population? If yes, do you have available the size of each sample? If the samples do not come from the same population, how do you justify averaging over the variances?
- What is the significance of 1 SD? - Cross Validated
What do you mean by "the derivative at 1 SD is +- 1"? Derivative of what? If you mean of a density plot, then what distribution? The normal? Different distributions will have different derivatives at 1 SD from the mean
- Will the mean of a set of means always be the same as the mean obtained . . .
The above calculations also demonstrate that there is no general order between the mean of the means and the overall mean In other words, the hypotheses "mean of means is always greater lesser than or equal to overall mean" are also invalid
- How to calculate `mean` and `sd` of lognormal distribution based on . . .
Lognormal distribution as below: estimate meanlog 6 0515 sdlog 0 3703 How to calculate the mean and sd of this distribution?
- Mean absolute deviation vs. standard deviation - Cross Validated
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 deviation" respectively The mean deviation is rarely used
- mean - How do I calculate confidence intervals for a non-normal . . .
You can just use a standard confidence interval for the mean: Bear in mind that when we calculate confidence intervals for the mean, we can appeal to the central limit theorem and use the standard interval (using the critical points of the T-distribution), even if the underlying data is non-normal
|
|
|