# Electronic Devices and Circuits Questions and Answers – Continous Time Signals

This set of Electronic Devices and Circuits Multiple Choice Questions & Answers (MCQs) focuses on “Continous Time Signals”.

1. The number of cars arriving at ICICI bank drive-in window during 10-min period is Poisson random variable X with b=2. What is the probability that more than 3 cars will arrive during any 10 min period?
a) 0.249
b) 0.143
c) 0.346
d) 0.543

Explanation: Evaluate 1 – P(x = 0) – P(x = 1) – P(x = 2) – P(x = 3).

2. The number of cars arriving at ICICI bank drive-in window during 10-min period is Poisson random variable X with b=2. What is the probability that no car will arrive is?
a) 0.516
b) 0.459
c) 0.246
d) 0.135

Explanation: Evaluate P(x = 0).

3. Delhi averages three murder per week and their occurrences follow a Poisson distribution. The probability that there will be five or more murders in a given week is?
a) 0.1847
b) 0.2461
c) 0.3927
d) 0.4167

Explanation: P(5 or more) = 1 – P(0) – P(1) – P(2) – P(3) – P(4) = 0.1847.

4. Delhi averages three murder per week and their occurrences follow a Poisson distribution. On average, how many weeks a year can Delhi expect to have no murders?
a) 1.4
b) 1.9
c) 2.6
d) 3.4

Explanation: P(0) = 0.0498. Hence average number of weeks per year with no murder is 52 x P(0) = 2.5889 week.

5. How many weeds per year (average) can the Delhi expect the number of murders per week to equal or exceed the average number per week?
a) 15
b) 20
c) 25
d) 30

Explanation: P(3 or more) = 1 – P(0) – P (1) – P(2) = 0.5768. Therefore average number of weeks per year = 52 x 0.5768 or 29.994 weeks.
Sanfoundry Certification Contest of the Month is Live. 100+ Subjects. Participate Now!

6. The random variable X is defined by the density f(x) = 0.5u(x) e(0.5x). What is the expect value of g(x) = X3?
a) 48
b) 192
c) 36
d) 72

Explanation: Solve E[g(x)] = E[X3].

7. The random variable X is defined by the density f(x) = 0.5u(x) e(0.5x). What is the mean of the random variable x is?
a) 1/4
b) 1/6
c) 1/3
d) 1/5

Explanation: Solve integral (x f(x) dx) from negative infinity to x.

8. The random variable X is defined by the density f(x) = 0.5u(x) e(0.5x). What is the variance of the random variable x is?
a) 1/10
b) 3/80
c) 5/16
d) 3/16

Explanation: Variance is given by E[X230] – 1/16.

9. A joint sample space for two random variable X and Y has four elements (1,1), (2,2), (3,3) and (4,4). Probabilities of these elements are 0.1, 0.35, 0.05 and 0.5 respectively. What is the probability of the event{X  2.5, Y  6} is?
a) 0.45
b) 0.50
c) 0.55
d) 0.60

Explanation: The required answer is given by Fxy(2.5, 6.0) = 0.1 + 0.35 = 0.45.

10. A joint sample space for two random variable X and Y has four elements (1,1), (2,2), (3,3) and (4,4). Probabilities of these elements are 0.1, 0.35, 0.05 and 0.5 respectively. What is the probability of the event that X is less than three?
a) 0.45
b) 0.50
c) 0.55
d) 0.60

Explanation: The required answer is given by Fx(3.0) = Fxy(3.0, infinity) = 0.1 + 0.35 + 0.05 = 0.50.

Sanfoundry Global Education & Learning Series – Electronic Devices and Circuits.

To practice all areas of Electronic Devices and Circuits, here is complete set of 1000+ Multiple Choice Questions and Answers. 