This report presents a statistical analysis examining the association between smoking, age, and 20-year survival rates. The study utilizes a dataset with variables including age category, smoking status, and 20-year survival outcomes. Methods employed include exploratory data analysis with charts and statistical tests like logistic regression and Pearson chi-square tests. The findings reveal a significant correlation between smoking status and survival, indicating that smokers face a higher risk of mortality within the 20-year timeframe. The report also highlights the influence of age on survival rates, with older individuals showing a higher incidence of death. The results underscore the detrimental effects of smoking on health and emphasize the need for public health interventions to mitigate smoking-related risks and promote healthy aging. The report concludes with a discussion of the study's implications and recommendations for future research.