Chapter 2 : Random Variables and Processes

1	Probability can be defined as limiting value of the relative frequency of occurrence. Is it true?
	A)	Yes
	B)	No
2	Is Bayes theorem related to joint probability?
	A)	Yes
	B)	No
3	A random variable cannot be discrete. It is always continuous. Is it correct?
	A)	Yes
	B)	No
4	Is it true that Gaussian probability density function is also known as normal density?
	A)	Yes
	B)	No
5	Does binomial distribution approximates Poisson distribution?
	A)	Yes
	B)	No, the reverse
6	Does Rayleigh distribution consider two signal components, each having Gaussian distribution?
	A)	Yes
	B)	No
7	Is it true that sum of two Gaussian random variables whether dependent or independent is a Gaussian random variable?
	A)	Yes
	B)	No
8	To design decision threshold for a discrete message receiver a priori probability of the messages and noise density function are important. Is the statement correct?
	A)	Yes
	B)	No
9	A NRZ signal passes 90 percent of power while passing through an ideal LPF filter of cut-off frequency fb where clock frequency is fb but biphase signal passes 70 percent. Is it correct?
	A)	Yes
	B)	No
10	Is a band pass signal defined by in-phase and in-quadrature components?
	A)	Yes
	B)	No
11	If the input to a linear system is Gaussian, the output need not be Gaussian. Is it true?
	A)	Yes
	B)	No, Output will be Gaussian