# Difference between Systematic Error and Random Error

Systematic errors are consistent and predictable mistakes that affect the results of an experiment. Random errors are unexpected mistakes that occur due to chance and can vary from one trial to the next. Systematic errors can be reduced by taking care to make measurements accurately and eliminating bias in the experimental procedure. Random errors cannot be reduced and must be taken into account when interpreting results.

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## What is Systematic Error?

Systematic error is a type of error that occurs when a measuring system consistently produces results that are incorrect in the same direction. This means that the error is not due to random fluctuations, but is instead due to some consistent bias that is built into the system. Systematic errors can be extremely difficult to identify and correct, as they often involve complex interactions between the various components of the system. Once the source of the error has been identified, it can then be corrected. In some cases, however, it may not be possible to completely eliminate systematic error.

## What is Random Error?

Random error is unavoidable in any measurement. It occurs because no measurement is ever perfectly precise. Even the most sophisticated instruments have some degree of inherent error. random error can be caused by a variety of factors, including operator error, environmental conditions, and mechanical problems.

The best way to reduce random error is to use multiple measurements and take an average. This will help to smooth out any inaccuracies and provide a more accurate estimate of the true value. Although it is impossible to completely eliminate random error, taking steps to reduce it will improve the precision of your measurements.

## Difference between Systematic Error and Random Error

Systematic error is defined as the difference between the expected value of a measurement and the true value of a quantity being measured. Systematic error is caused by a flaw in the design of the measuring device or by incorrect calibration of the instrument.

• Random error, on the other hand, is defined as the variability in the measurements that are due to random fluctuations in the reading of the instrument.
• Random error is usually caused by variations in environmental conditions, such as temperature, humidity, or air pressure. While systematic error can be corrected by improving the design of the measuring device or by better calibration, random error cannot be corrected.
• To reduce the effects of random error, measurements should be taken at different times and under different conditions. By averaging the results of multiple measurements, the effects of random error can be minimized.

## Conclusion

Systematic Error is the type of error that is caused by a flaw in the design or implementation of a study. This error can be minimized by proper experimental design and execution. Systematic errors are also referred to as bias. Random Error is the type of error that is caused by chance fluctuations in data collection or measurement. Random errors cannot be eliminated through better experimental design, but they can be reduced by increasing the number of observations.