This experiment introduces the concepts of error analysis and graph drawing which are essential skills for presenting experimental results. There are two types of errors in measurements - systematic errors which are constant and lead to clustering around a displaced value, and random errors which are variable and lead to dispersion around the mean value. Statistical analysis is used to handle random errors by taking multiple measurements and calculating the mean and standard deviation. Proper presentation of experimental data through graphs and accounting for errors is important for validating scientific theories and engineering applications.