This assignment presents an analysis of quantitative data using IBM SPSS Statistics, focusing on a Health and Lifestyle (HALS) survey of male employees. The analysis includes descriptive statistics, histograms, pie charts, regression analysis, t-tests, and cross-tabulations to investigate answers to lifestyle-related questions. The report interprets the statistical outputs, examining variables such as age, health status, height, weight, and smoking habits in relation to mental state and social class. Key findings include the distribution of ages within the sample, the self-reported health status of participants, the relationship between age and forced expiratory volume, and differences in forced expiratory volume between social classes. Crosstabs are used to explore the relationship between smoking habits and mental state. The report provides a comprehensive overview of the data, using statistical methods to uncover patterns and relationships within the HALS survey.