Data Analysis

Overview

Due:

11:00pm, Friday November 13, 2020

Max grace days:

2

The purpose of this assignment analyze a dataset and answer questions about it.

Description

This assignment has several CSV files related to student grades for a single semester. Create a Jupyter notebook named main.ipynb and answer the following questions:

1. What are the names of the students that have an average GPA of 4.0?
2. Do students that live on campus get better grades? Is the difference significant?
3. Which instructor tends to assign the lowest grades?
4. Do the overall grades appear to be normally distributed?
5. Make up your own (non-trivial) question and answer it.

The answer for a given question must include the code that produces the answer and may include figures if appropriate. The final written answer to each question must be in a Markdown cell. You can use any features of the NumPy, Pandas, and Matplotlib libraries.

Turning in the Assignment

You must turn in a file named main.ipynb. Submit the program source file to the appropriate folder on D2L.

Grading Criteria

Grading (out of 100 points):

• 20 points per question