1) 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?  Published on 30 Nov 15
a. Binomial
b. Uniform
c. Both a & b
d. None of the above

2) What would happen if the value of term [(mx) / (σ √2)] increases in the expression of Guassian CDF?  Published on 30 Nov 15
a. Complementary error function also goes on increasing
b. Complementary error function goes on decreasing
c. Complementary error function remains constant or unchanged
d. Cannot predict
Answer
Explanation
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ANSWER: Complementary error function goes on decreasing
Explanation: No explanation is available for this question!


3) A random variable belongs to the category of a uniform PDF only when ______  Published on 30 Nov 15
a. It occurs in a finite range
b. It is likely to possess zero value outside the finite range
c. Both a & b
d. None of the above

4) Which among the below mentioned standard PDFs is/are applicable to discrete random variables?  Published on 30 Nov 15
a. Gaussian distribution
b. Rayleigh distribution
c. Poisson distribution
d. All of the above

5) When do the conditional density functions get converted into the marginally density functions?  Published on 30 Nov 15
a. Only if random variables exhibit statistical dependency
b. Only if random variables exhibit statistical independency
c. Only if random variables exhibit deviation from its mean value
d. None of the above
Answer
Explanation
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ANSWER: Only if random variables exhibit statistical independency
Explanation: No explanation is available for this question!


6) What is the value of an area under the conditional PDF?  Published on 30 Nov 15
a. Greater than '0' but less than '1'
b. Greater than '1'
c. Equal to '1'
d. Infinite

7) The Joint Cumulative Density Function (CDF) _____  Published on 30 Nov 15
a. Is a nonnegative function
b. Is a nondecreasing function of x & y planes
c. Is always a continuous function in xy plane
d. All of the above

8) 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?  Published on 30 Nov 15
a. A is true & B is false
b. A is false & B is true
c. Both A & B are true but B is a reason for A
d. Both A & B are false since B is not a reason for A

9) What would be the joint probability of statistically independent events that occur simultaneously?  Published on 30 Nov 15
a. Zero
b. Not equal to zero
c. Infinite
d. None of the above

10) What would happen if the two events are statistically independent?  Published on 30 Nov 15
a. Conditional probability becomes less than the elementary probability
b. Conditional probability becomes more than the elementary probability
c. Conditional probability becomes equal to the elementary probability
d. Conditional as well as elementary probabilities will exhibit no change
Answer
Explanation
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ANSWER: Conditional probability becomes equal to the elementary probability
Explanation: No explanation is available for this question!

