Statistics
Distributions, uncertainty, hypothesis tests, and estimating parameters from samples.
Describing data and reasoning from it: distributions, means and their errors, propagation of uncertainty, hypothesis tests, Bayesian estimation, bootstrap. Fitting a curve belongs to curve-fitting; generating random samples belongs to monte-carlo.
1 tutorial by type and language
| Python | Julia | Mathematica | |
|---|---|---|---|
| Concept | – | – | – |
| Tool | – | – | – |
| Recipe | Fit a curve to data with error bars and draw a confidence band | – | – |
| Visualization | – | – | – |
| Project | – | – | – |