1001 B
1001 B
id, title, tags, daily
| id | title | tags | daily |
|---|---|---|---|
| 2026-01-30T16:29:00-0500 | 2026-01-30 16:29:?? | 2026-01-30 |
2026-01-30 16:29:??
New Statistics Concepts
statistics topics researched while reading hubbard_2025_project-management:
Laplace's Rule of Succession (LRS)
[!info] Pierre-Simon Laplace
If some event occurred m times in n observations,
the probability the event will occur in the next observation
is given by:
\frac{1+m}{2+n}
"Rule of Five"
Hubbard et al. speak of this "rule" as if it's well known by that name, but I can't corroborate that.
The probability that any given sample is above the median is 50%.
The probability that the minimum and maximum values of n samples
don't straddle the median is (\frac{1}{2})^{n},
equivalent to getting the same result on a flipped coin
n times in a row.
There is a 93.75% chance that the median of a population is between the smallest and largest values in any random sample of five from that population.