If the cumulative distribution function is Fx(x) then the probability density function fx(x) is given as
A. $$\int {{F_x}\left( x \right)dx} $$
B. $$\int {\frac{d}{{dx}}{F_x}\left( x \right)} $$
C. $$\int {{F_x}\left( { - x} \right)dx} $$
D. $$\frac{d}{{dx}}{F_x}\left( { - x} \right)$$
Answer: Option B
Related Questions on Signal Processing
The Fourier transform of a real valued time signal has
A. Odd symmetry
B. Even symmetry
C. Conjugate symmetry
D. No symmetry
A. $$V$$
B. $${{{T_1} - {T_2}} \over T}V$$
C. $${V \over {\sqrt 2 }}$$
D. $${{{T_1}} \over {{T_2}}}V$$
A. $$T = \sqrt 2 {T_s}$$
B. T = 1.2Ts
C. Always
D. Never
A. $${{\alpha - \beta } \over {\alpha + \beta }}$$
B. $${{\alpha \beta } \over {\alpha + \beta }}$$
C. α
D. β

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