Systematic error refers to consistent, repeatable inaccuracies that occur in measurements or observations. Unlike random errors, which vary unpredictably, systematic errors arise from flaws in the measurement process, such as faulty equipment or biased data collection methods. These errors can lead to results that are consistently higher or lower than the true value. Identifying and correcting systematic errors is crucial for improving the accuracy of scientific experiments and data analysis. For example, if a scale used to weigh objects is improperly calibrated, it will consistently give incorrect readings. Addressing these issues ensures that findings are reliable and valid, enhancing the overall quality of research.