This project is a part of the FlatIron School Data Science Fellowship requirements.
The purpose of this project is to examine the statistical signifigance of various meteorite properties. This includes things like their mass, classification, and strike coordinates.
- Kate Hayes
- Github 99KHayes
- Quinn Dizon
- Github QED0711
- Quinn's Personal Website
- t-tests
- A/B Testing (proportion testing)
- Python
- Scipy Stats
- Matplotlib/Seaborn
- GeoPandas
This project tests several hypothesis with t-tests and proportions tests
- Ho: The classification of meteorites has no effect on average mass
- Ho: The average mass of meteorites found vs. observed falling is the same
- Ho: No change occurs in the ratio of falling to found meteorites over time
- Ho: Meteorites land with equal frequency across the global landmass
- Ho: The population of a country has no impact on the number of meteorites observed
- Primary data From NASA’s open data portal
- Supplemental data1 - populations for the locations meteorites landed
- Supplemental data2 - populations for the locations meteorites landed
- Please See the MASTER Jupyter notebook above for the main analysis