Accuracy vs Precision | Accuracy and Precision examples

Рет қаралды 231

Күн бұрын

Accuracy and Precision are the two important term that often comes into picture during the measurement, testing, and calibration process. The effectiveness of the decisions is based on the measurement data’s accuracy and precision.
Equipment with high accuracy and high precision will always lead to better decisions, improve quality of measurement data, low variations, and fewer errors.
A measurement system is said to be valid if a set of measurement data points or measured values falls very close to each other and near to target/reference/true value i.e. both precise and accurate.
In MSA, measurement system variations or errors are classified into five categories - Bias, Stability, Linearity, Repeatability, and Reproducibility.
Bias often referred to as ‘Accuracy’ while Repeatability and Reproducibility errors are referred to as Precision.
Bias is the difference between the observed average value and the true or reference value.
Repeatability is the variation in measurements when the same appraiser/person measuring the same part repeatedly with the same instrument.
Reproducibility is the variation in measurements when different appraisers/persons measuring the same part using the same instrument.
A gage should have adequate accuracy and precision. If these two conditions are not met, the gage may be inadequate and measurement data obtained from the gage maybe have no value.
#industrial_training #industrialsolutions #industrial
#industry #industries #quality #quality_assurance
#qualitycontrol #qualityeducation #mechanicalengineering #mechanical
#autoindustry #automobile #automotive #auto
#automobile #casting #molding #aerospace #viralvideo #1million #msa #accuracy #precision
#accuracy_vs_precision #msa