Detecting non-randomness in errors can be done using:
A)MSEs
B)MAPs
C)Control Charts
D)Correlation Coefficients
E)Strategies

Question

Quizplus · Accepted Answer

Control Charts are the most appropriate for detecting non-randomness in errors as they provide a visual display of the pattern of errors over time. Control Charts plot the data points for a process over time and then plot a centerline, upper control limit, and lower control limit. Any data point outside the control limits indicates non-random variation in the process, which could be due to a special cause. MSEs, MAPs, Correlation Coefficients, and Strategies may not be able to detect non-randomness in errors as effectively as Control Charts.

Detecting Non-Randomness in Errors Can Be Done Using