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user 805
Advises on statistical analysis that are often useful in practice (but are not always guaranteed to work).
8
votes
Accepted
Optimal number of bins in histogram by the Freedman–Diaconis rule: difference between theore...
The reason comes from the fact that the histogram function is expected to include all the data, so it must span the range of the data.
The Freedman-Diaconis rule gives a formula for the width of the …
- 291k
8
votes
Accepted
Histogram with uniform vs non-uniform Bins
When is a uniform-bin histogram better than a non-uniform bin one?
This requires some kind of identification of what we'd seek to optimize; many people try to optimize average integrated mean squ …
- 291k
5
votes
Accepted
How good an approximation is sampling with replacement to sampling without replacement?
My answer largely relates to the second part but I may come back with a few words on the first part later (once the notation in the question is clarified)
A common rule of thumb when approximating th …
- 291k
2
votes
How to judge skewness based on the mean and range?
There is a way that this would make some kind of sense
For a variable that's non-negative the minimum must be between 0 and the mean -- consequently if the range is many times as large as the mean th …
- 291k