Frequentist inference and regression
Budget: $10 – $30 USD
In this homework, you will practice applying your frequentist inference and regression modeling skills on different datasets. Like the previous homework, this set of problems will be presented as datasets and associated research questions for you to answer with your own Markdown and Python Code cells.
**Make sure you write down the statistical reasoning and justification for any Python code cells created.** The Python code is only there to support you computationally for your own statistical hypotheses and analyses. Additionally, make sure to justify any conclusions you make to answer questions with statistical reasoning. Make sure you justify the statistical test chosen as well (for instance, unpaired vs. paired t-test).
Grading breakdown:
- 25% organization and flow of statistical analysis
- 25% correct statistical analysis
- 25% organization and flow of Python code
- 25% correct Python code
Jupyter Notebook file- hw3.ipynb
Required Datasets:
eyecolorgenderdata.csv
building_energy_efficiency.csv
Deadline-15th October 2021-time: 11:59 PM
**Make sure you write down the statistical reasoning and justification for any Python code cells created.** The Python code is only there to support you computationally for your own statistical hypotheses and analyses. Additionally, make sure to justify any conclusions you make to answer questions with statistical reasoning. Make sure you justify the statistical test chosen as well (for instance, unpaired vs. paired t-test).
Grading breakdown:
- 25% organization and flow of statistical analysis
- 25% correct statistical analysis
- 25% organization and flow of Python code
- 25% correct Python code
Jupyter Notebook file- hw3.ipynb
Required Datasets:
eyecolorgenderdata.csv
building_energy_efficiency.csv
Deadline-15th October 2021-time: 11:59 PM