To students learning statistics, the central limit theorem can be a difficult concept to understand. This project demonstrates several important points using JAVA and SPSS tools. JAVA was used to create a set of uniform random numbers to use as the parent individual data. That data was then split into subgroups to create the child mean data. Descriptive statistical tools were used to compare the two distributions and verify that the child mean distribution was a normal set of data, proving a main point of the central limit theorem that the child mean distribution followed a more normal distribution than the parent individual distribution. To prove the next main point, the standard deviations were compared to prove that the child means’ standard deviation was narrowed by n0.5. In the end, two experiments of random sample followed uniform and skewed parent distribution respectively proves the match with central limit theorem.