This paper discusses five strategies to deal with five types of errors in Qualitative Comparative Analysis (QCA): condition errors, systematic errors, random errors, calibration errors, and deviant ...

Accurate results are free from systematic and random errors and accuracy also involves trueness and precision. Precision is defined as the closeness of agreement between individual values.

In general, systematic errors cause a bias in measurements that result in an ‘offset’ of measured data points from the ‘true’ value of the quantity being measured. Systematic errors are commonly ...

In this article, AHN Biotechnologies explains how to avoid common pipetting errors for better lab results.

Random errors Random errors are errors made by the person carrying out the measuring, and are usually down to timing incorrectly, or reading the instrument incorrectly.

This article discusses simple processes for addressing the random and systematic errors caused by the dead time in a gammaray spectrometer.