https://github.com/ejw-data/stats-guide
Repo held on my local machine of useful Python stats and visualizaton tools. Tutorials being developed for DS Class.
https://github.com/ejw-data/stats-guide
Last synced: about 1 year ago
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Repo held on my local machine of useful Python stats and visualizaton tools. Tutorials being developed for DS Class.
- Host: GitHub
- URL: https://github.com/ejw-data/stats-guide
- Owner: ejw-data
- Created: 2020-07-25T02:50:37.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2024-03-21T21:14:38.000Z (over 2 years ago)
- Last Synced: 2025-03-15T16:44:30.974Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 2.91 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
-- Note: Readme is not complete. Notebooks are annotated.
## Topics
1. Central Limit Theorem
1. Likelihood versus Probability
1. Standard Deviation Heuristics with Normal Distribution
1. Distribtion Comparisons (t-distribution and normal distribution)
1. Meaning of Test Statistics, t-value and z-value
1. Application of Distributions - t-tests and confidence intervals
1. Evaluation of Errors, $\alpha, \beta$
1. Normality Tests
## Packages
* Scipy
* Statsmodels
* pyMC3
* [pingouin](https://pingouin-stats.org/build/html/index.html)
## Contents







Truth about Population
Hypothesis
True Effect ($H_1$)
No Effect ($H_0$)
Reject $H_o$
True
Type I / Alpha Error
Fail to Reject $H_o$
Type II / Beta Error
True
