Three general types of errors occur in lab measurements: random error, systematic errorsystematic errorStatistical bias is a systematic tendency which causes differences between results and facts. The bias exists in numbers of the process of data analysis, including the source of the data, the estimator chosen, and the ways the data was analyzed.https://en.wikipedia.org › wiki › Bias_(statistics)Bias (statistics) – Wikipedia, and gross errors. Random (or indeterminate) errors are caused by uncontrollable fluctuations in variables that affect experimental results.
What are experimental errors?
Experimental error is the difference between a measured value and its true value. In other words, it is the inaccuracy or inaccuracies that stop us from seeing an absolutely correct measurement. Experimental error is very common and is to some degree inherent in every measurement.