This report delves into the application of research and statistical methods within a business context, specifically examining a study on job insecurity and its effects on employee well-being. The report begins by explaining the concept of sampling, highlighting the rationale for a large sample size (21%) in the original research, and discussing the benefits such as increased accuracy, outlier identification, and reduced margin of error. The simple random sampling method used in the research is then analyzed, outlining its advantages (representation of the population, ease of use, reduced bias) and disadvantages (reliance on researcher skill, potential for sample selection bias). The report then assesses the reliability and validity of the variables, differentiating between test-retest, internal consistency, and interrater reliability, as well as face, content, criterion, and discriminant validity. Furthermore, the importance of collecting social demographic data is emphasized, including its role in survey design, analysis, and the collection of meaningful data. The research design, a survey, is then discussed, detailing its cost-effectiveness, data collection ease, and ability to reach a large sample, while also acknowledging its limitations such as sample choice issues and rigidity. The report concludes by summarizing the key findings and implications of the research, offering a comprehensive overview of the methodology and its application in understanding job insecurity and its impact on employees.