Electronic Engineering Questions Start Creating PDF

Electronic Engineering Questions, this topic has 2261 mcqs, It takes five to ten minutes to complete this free electronic engineering questions test. You will see 4 or 5 option of each question. You must choose / think only one option and then press on answer key for check right answer. Practice "electronic engineering questions" MCQs and share with your friends, brothers, sisters.

electronic engineering questions (Total Quiz: 2261)

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

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

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

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

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

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

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

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

MCQ: What would be the joint probability of statistically independent events that occur simultaneously?

Zero
Not equal to zero
Infinite
None of the above

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

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