https://github.com/anas436/hypothesis-testing-walkthrough-with-python
https://github.com/anas436/hypothesis-testing-walkthrough-with-python
hypothesis-testing inferential-statistics jupyterlab matplotlib-pyplot numpy pandas python3 scipy seaborn statsmodels
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/anas436/hypothesis-testing-walkthrough-with-python
- Owner: Anas436
- Created: 2022-11-04T16:38:47.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-11-04T16:41:20.000Z (about 3 years ago)
- Last Synced: 2025-03-27T10:48:07.849Z (8 months ago)
- Topics: hypothesis-testing, inferential-statistics, jupyterlab, matplotlib-pyplot, numpy, pandas, python3, scipy, seaborn, statsmodels
- Language: Jupyter Notebook
- Homepage:
- Size: 286 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Hypothesis-Testing-Walkthrough-with-Python
In this notebook we demonstrate formal hypothesis testing using the NHANES data.
It is important to note that the NHANES data are a "complex survey". The data are not an independent and representative sample from the target population. Proper analysis of complex survey data should make use of additional information about how the data were collected. Since complex survey analysis is a somewhat specialized topic, we ignore this aspect of the data here, and analyze the NHANES data as if it were an independent and identically distributed sample from a population.