Data Pool

Data Cleaning

1. Removing students that are missing important values

2. Removing students with abnormal outliers in the important categories

Feature Transformation

1. Transforming the Age Column number into a category that needs to be represented in specific ranges as (class_level) in column Q.

2. Use the Color Manager to add colors to the Mental Health range.

3. Use the Color Manager to add colors to each Class Level.

Descriptive Statistical Representations of Each Major Independent Variable on the Dependent Variable

Passing Sample

n=355

Failing Sample

n=145

Statistical Tests

Passing and Failing Study Hours Per Day with Mean and Standard Deviation

(Question 1)

Passing and Failing based on Mental Health and Study Hour Dependance

(Question 3)

Passing and Failing in regard to Mental Health Score

(Question 2)

Regression Tests to Quantify Need of Further Research

Data Access

Data Cleaning

Data Transformation

Descriptive Representation (1)

Descriptive Representation of the data after a selected population representation is selected and formulated

Descriptive Representation (2)

Data Merging and Aggregation

Statistical Testing

Data Representation & Findings