A power spectral density has a roughly Gaussian shape for which the mean is at 10000Hz and the standard deviation of the distribution is 100 Hz. Bearing in mind what we know about the Gaussian distribution, estimate the proportion of power that lies in the region that is in EXCESS of 10300Hz, if the TOTAL power in the signal is 10 Watts. Is it:
A power spectral density has a roughly Gaussian shape for which the mean is at 10000Hz and the standard deviation of the distribution is 100 Hz. Bearing in mind what we know about the Gaussian distribution, estimate the proportion of power that lies in the region that is in EXCESS of 10300Hz, if the TOTAL power in the signal is 10 Watts. Is it:
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Transcribed Image Text:A power spectral density has a roughly Gaussian shape for which the mean is at 10000Hz and the standard deviation of the distribution is 100 Hz.
Bearing in mind what we know about the Gaussian distribution, estimate the proportion of power that lies in the region that is in EXCESS of 10300Hz,
if the TOTAL power in the signal is 10 Watts. Is it:
Select one:
O a. 0.997 Watts
O b. 0.0025 Watts
O c. 0.003 Watts
O d. 0.0015 Watts
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