Random error refers to the variability or uncertainty in measurements due to chance, while literature error is the accepted or expected value for a certain measurement. In other words, random error is the difference between individual measurements and literature error is the expected value based on previous research or established standards.
There are several factors that can contribute to higher random error, such as human error in measurement or recording, variability in experimental conditions, and limitations of measurement tools. Additionally, a small sample size or lack of control in an experiment can also lead to higher random error.
No, random error cannot be completely eliminated as it is inherent in any measurement process. However, it can be reduced by using precise and accurate measurement tools, controlling experimental conditions, and increasing sample size to account for variability.
Random error can affect the reliability and validity of research findings, as it can lead to inaccurate or inconsistent results. By acknowledging and accounting for random error, researchers can ensure the accuracy and credibility of their findings.
Literature error is determined through previous research, established standards, or theoretical calculations. It is often used as a benchmark for measuring the accuracy of results and determining the significance of findings.