Random errors are unpredictable variations that occur in measurements or observations. They can arise from various sources, such as environmental changes, instrument limitations, or human factors. These errors can cause the results to fluctuate, making it difficult to achieve consistent outcomes. Unlike systematic errors, which are consistent and repeatable, random errors are inherently irregular. They can be minimized through repeated measurements and statistical analysis, allowing researchers to estimate the degree of uncertainty in their results. Understanding random errors is essential in fields like science, engineering, and statistics to improve accuracy and reliability.