The article explores how sample size affects the accuracy of survey research results. By using a formula based on margin of error and confidence level, the researchers determined sample sizes of 100, 150, 300, and 1200 from a total population of 1761 university students. They analyzed the students' profiles and attitudes towards the university. The precision of percentages varied with sample size, but the means of attitudes did not. Only sample sizes of 300 and 1200 had results similar to the entire population. Properly calculating sample size can ensure results align with the overall population.