Hypothesis Testing - Factors Affecting Health

Description

This project involves statistically analyzing surveyed data to test health-related hypotheses and identify key lifestyle factors impacting health. The analysis aims to uncover patterns and relationships between various lifestyle behaviors and health outcomes.

Objective

• To determine how various lifestyle factors affect Body Mass Index (BMI).
• To evaluate the impact of eating habits, sleep duration, and physical activity on health.

Data Collection

• Participants: 100 individuals aged between 17 to 56 years.
• Survey: Collected data on age, diet preferences, sleep duration, activeness, and other lifestyle factors.

Tools and Techniques

• BMI Calculation: Body Mass Index (BMI) was calculated for each participant.
• Statistical Analysis: T-statistics and F-statistics were used for hypothesis testing.
• Softwares used:
  1. Data collection via survey form using Forms App
  2. Analysis conducted using Ms-Excel and Jupyter Notebook

Hypotheses Tested

1. Age and BMI: Does BMI vary significantly with age?
2. Diet Preferences: Is there a significant difference in BMI between vegetarians and non-vegetarians?
3. Gender Differences: Are there significant differences in BMI between males and females?
4. Fruit Consumption: Does regular consumption of fruits affect BMI?
5. Sleep Duration: Is there a correlation between sleep duration and BMI?
6. Physical Activity: Does regular workout influence BMI?

Key Findings

• Age: Significant variation in BMI with age.
• Diet: Notable differences in BMI based on diet preferences.
• Gender: Significant gender differences in BMI.
• Fruits: Impact of fruit consumption on BMI.
• Sleep: Correlation between sleep duration and BMI.
• Activity: Influence of physical activity on BMI.

Results

The analysis provided insights into how different lifestyle factors affect BMI. Significant findings were observed for variations in BMI with age, diet, and activity levels.

Conclusion

The project highlights the importance of various lifestyle factors in determining health outcomes. Further research with larger sample sizes is recommended to validate and refine these findings.

Future Scope of work

• Extended Analysis: Include more variables such as stress levels, work environment, and genetic factors.
• Larger Samples: Conduct studies with larger and more diverse populations.
• Interventions: Develop interventions based on findings to promote healthier lifestyles.