Think stats
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a ca...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Sebastopol, Ca :
O'Reilly Media
2011.
|
| Edition: | First edition |
| Series: | Probability and statistics for programmers Think stats
|
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627780306719 |
Table of Contents:
- 1. Statistical thinking for programmers
- 2. Descriptive statistics
- 3. Cumulative distribution functions
- 4. Continuous distributions
- 5. Probability
- 6. Operations on distributions
- 7. Hypothesis testing
- 8. Estimation
- 9. Correlation.
