Signals & Systems Test Questions Start Creating PDF
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signals & systems test questions (Total Quiz: 66)
MCQ: Which type of standard PDFs has/ have an ability to describe an integer valued random variable concerning to the repeated trials carried /conducted in an experiment?
- Binomial
- Uniform
- Both a & b
- None of the above
A
MCQ: What would happen if the value of term [(m-x) / (σ √2)] increases in the expression of Guassian CDF?
- Complementary error function also goes on increasing
- Complementary error function goes on decreasing
- Complementary error function remains constant or unchanged
- Cannot predict
B
MCQ: A random variable belongs to the category of a uniform PDF only when ______
- It occurs in a finite range
- It is likely to possess zero value outside the finite range
- Both a & b
- None of the above
C
MCQ: Which among the below mentioned standard PDFs is/are applicable to discrete random variables?
- Gaussian distribution
- Rayleigh distribution
- Poisson distribution
- All of the above
C
MCQ: When do the conditional density functions get converted into the marginally density functions?
- Only if random variables exhibit statistical dependency
- Only if random variables exhibit statistical independency
- Only if random variables exhibit deviation from its mean value
- None of the above
B
MCQ: What is the value of an area under the conditional PDF?
- Greater than '0' but less than '1'
- Greater than '1'
- Equal to '1'
- Infinite
C
MCQ: The Joint Cumulative Density Function (CDF) _____
- Is a non-negative function
- Is a non-decreasing function of x & y planes
- Is always a continuous function in xy plane
- All of the above
D
MCQ: Consider the assertions given below
A : CDF is a monotonously increasing function
B : PDF is a derivative of CDF & is always positive
Which among them is correct according to the properties of PDF?
- A is true & B is false
- A is false & B is true
- Both A & B are true but B is a reason for A
- Both A & B are false since B is not a reason for A
C
MCQ: What would be the joint probability of statistically independent events that occur simultaneously?
- Zero
- Not equal to zero
- Infinite
- None of the above
B
MCQ: What would happen if the two events are statistically independent?
- Conditional probability becomes less than the elementary probability
- Conditional probability becomes more than the elementary probability
- Conditional probability becomes equal to the elementary probability
- Conditional as well as elementary probabilities will exhibit no change
C
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