Health Data Analysis

This project analyzes data from 100 adults to explore relationships between mental health, physical health, BMI, gender, and exercise habits using descriptive statistics and statistical testing to uncover patterns and associations among key health indicators.​

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The primary aim of this analysis is to apply descriptive and inferential statistical methods to address the following research questions:

1. Is there a difference in Mental Health Score between males and females?

2. Is there a difference in Physical Health Score across different BMI groups (Underweight, Normal, Overweight, Obese)?

3. Is there a relationship between Mental Health and Physical Health scores?

4. Is there an association between Regular Exercise and Gender?

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Each question was addressed using appropriate statistical techniques, supported by visualisations, summary tables and interpretation.