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Assignment Title: Exploring the Relationship Between Lifestyle Factors and Blood Pressure Introduction: High blood pressure (hypertension) is a significant risk factor for cardiovascular disease. This assignment explores the relationship between lifestyle factors (like diet, exercise, and smoking status) and blood pressure using a provided dataset. You will use descriptive statistics, hypothesis testing, and potentially regression analysis to investigate these relationships. Dataset: Option 1 (Introductory): A simplified, simulated dataset with variables like: o Systolic Blood Pressure (mmHg) o Diastolic Blood Pressure (mmHg) o Age (years) o Gender (Male/Female) o Smoking Status (Yes/No) o Exercise (Hours per week - categorized as <3, 3-5, >5) Option 2 (Intermediate/Advanced): A publicly available dataset (e.g., from NHANES or Kaggle) related to cardiovascular health. This might include more variables like BMI, cholesterol levels, dietary intake (e.g., sodium), and other relevant health indicators. Consider the Framingham Heart Study data as a good option. Tasks:
statistics by relevant categorical variables (e.g., smoking status, exercise category, gender). o Create appropriate visualizations (histograms, box plots, scatter plots) to explore the distribution of blood pressure and its relationship with other variables. Explain what these visualizations tell you.
Interpretation: Emphasize the importance of interpreting statistical results in the context of the research question and avoiding over-interpretation.