You are monitoring the temperature and vibration intensity on newly manufactured aircraft engines. You have measured 100 engines and fit the Gaussian model described in the video lectures to the data. The 100 examples and the resulting distributions are shown in the figure below.
The measurements on the latest engine you are testing have a temperature of 17.5 and a vibration intensity of 48. These are shown in magenta on the figure below. What is the probability of an engine having these two measurements?
Select one:
- 0.0738 0.02288 = 0.00169
- 0.0738 + 0.02288 = 0.0966
- 17.5 + 48 = 65.5
- 17.5 48 = 840
- Correct:
According to the model described in lecture, p(A, B) = p(A) p(B). .
