Reducing noise in data involves:
A) minimising random variation wherever possible.
B) adding error to a true score for each participant.
C) ensuring that all participants are quiet during experimental procedures.
D) comparing the true scores of one group with the true scores of another.

Question

Quizplus · Accepted Answer

Random variation is a common source of noise in data, and minimizing it can improve the accuracy and reliability of the results. Option B is incorrect as adding error will only increase noise. Option C may be important for certain studies, but it does not directly address the noise in the data. Option D may be useful for comparing groups, but it does not reduce noise in the data itself.

Reducing Noise in Data Involves