https://github.com/cyprianfusi/complete-statistical-hypothesis-tests
Complete Statistical Hypothesis Test using real-world data is a blueprint for hypothesis testing! It covers almost all the hypothesis tests commonly used.
https://github.com/cyprianfusi/complete-statistical-hypothesis-tests
hypothesis-testing pandas-python statistics visualization
Last synced: over 1 year ago
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Complete Statistical Hypothesis Test using real-world data is a blueprint for hypothesis testing! It covers almost all the hypothesis tests commonly used.
- Host: GitHub
- URL: https://github.com/cyprianfusi/complete-statistical-hypothesis-tests
- Owner: CyprianFusi
- Created: 2022-07-01T19:29:30.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-03-21T09:50:15.000Z (over 2 years ago)
- Last Synced: 2025-01-26T11:28:34.601Z (over 1 year ago)
- Topics: hypothesis-testing, pandas-python, statistics, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 648 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# complete-statistical-hypothesis-tests
## Complete Statistical Hypothesis Test using real-world data.
These notebooks contain statistical hypothesis tests using real-world dataset for a series of Research Questions.
Parametric inferential procedures are used after confirming and/or assuming that the samples meet the required conditions
for the test.
Effect Size is used to evaluate the meaningfulness of statistical significance of an outcome from a hypothesis test.
Also, Confidence Intervals are also computed to lend more weight to the outcome of the hypothesis tests.