This project focuses on hypothesis testing using the National Parent Involvement in Education Survey from the National Center for Education Statistics.
Date: November 2019
Project Members: Anil Onal and Steven Dye
Goals: To come up with two hypotheses about the relationship between a child's success in school and the participation of their parents, and to test those hypotheses with relevant statistical techniques.
Responsibilities:
- Define project scope and focus
- Collect data
- Form hypotheses
- Perform exploratory data analysis
- Create Master Notebook
- Test hypotheses
- Create presentation
- Lint/clean code file
Summary of files:
- Master_Notebook.ipynb: Jupyter Notebook documenting the code and the analysis for the project. Written for a technical audience
- data file
- pfi_pu.csv: National Household Education Surveys Program of 2016 survey data from the National Center for Education Statistics.
- pi_df.csv: Cleaned data set
- data_prep.py: Code used to clean data
- visualizations.py: Code to produce visualizations
- hypothesis_tests.py: Code to perform hypothesis testing
- Parental Involvement to Education.pdf: PDF of powerpoint presentation
- Powerpoint file: https://docs.google.com/presentation/d/1kjb50hbVqYYjk_NzyRe7SakGgzYTrXKrpP3ShqCcZQc/edit#slide=id.g6b57130686_0_0