Statistical error refers to the difference between a measured value and the true value. It can occur due to various factors, such as sampling methods, measurement inaccuracies, or natural variability in data. Understanding statistical error is crucial for interpreting results in fields like science, economics, and social research. There are two main types of statistical error: systematic error and random error. Systematic error consistently skews results in one direction, while random error causes fluctuations that can lead to unpredictable outcomes. Recognizing and minimizing these errors helps improve the reliability of data analysis and conclusions drawn from it.