In SDT we represent signal and noise as a pair of distributions. Which of the following is a true statement concerning these distributions:
A) there is always some overlap between the distributions and the distributions are normal
B) there is no overlap between the distributions and the distributions are normal
C) there is always some overlap between the distributions are the distributions are not normal
D) there is overlap between the distributions and the distributions are normal

Question

In SDT we represent signal and noise as a pair of distributions. Which of the following is a true statement concerning these distributions:
A) there is always some overlap between the distributions and the distributions are normal
B) there is no overlap between the distributions and the distributions are normal
C) there is always some overlap between the distributions are the distributions are not normal
D) there is  overlap between the distributions and the distributions are normal

Quizplus · Accepted Answer

In Signal Detection Theory (SDT), it is assumed that both signal and noise are represented by normal (Gaussian) distributions and there is always some overlap between these distributions, reflecting the uncertainty or difficulty in distinguishing signal from noise in many detection tasks.

In SDT We Represent Signal and Noise as a Pair