In a signal-to-noise ratio, the "signal" represents the
A) number of participants in both groups.
B) number of participants minus some value.
C) variability in scores within the groups.
D) difference between the means of both groups.

Question

Quizplus · Accepted Answer

In a signal-to-noise ratio, the "signal" represents the difference between the means of both groups. This difference is the key factor in determining the strength of the effect being studied, and thus is the signal that researchers are trying to measure. The "noise" represents the variability in scores within the groups, which can obscure the signal and make it harder to detect. By calculating the signal-to-noise ratio, researchers can assess the strength of the effect and determine whether it is statistically significant.

In a Signal-To-Noise Ratio, the "Signal" Represents the