Probability-Distribution Functions and Properties (ISS Statistics Paper I (New 2016 MCQ Pattern)): Questions 7 - 11 of 11

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Question number: 7

» Probability » Distribution Functions and Properties

MCQ▾

Question

Let X be a continuous random variable with the following PDF

fX(x)={

where, k is a positive constant. The value of k is?

Choices

Choice (4) Response

a.

1

b.

12

c.

2

d.

None of the above

Question number: 8

» Probability » Distribution Functions and Properties

MCQ▾

Question

Which of the following options could be the example of cumulative distribution function?

Understanding the various cumulative distribution functions

Understanding the Various Cumulative Distribution Functions

Knowing the various curves and cumulative distributions

Choices

Choice (4) Response

a.

A, B and C

b.

A, B and D

c.

C and D

d.

None of the above

Question number: 9

» Probability » Distribution Functions and Properties

MCQ▾

Question

Let FX be defined as follows:

FX(x)={

For FX(x) to be a cumulative distribution function, given k is positive, following statement is correct:

Choices

Choice (4) Response

a.

k(0, 1)

b.

p=1

c.

None of the above

d.

All of the above

Question number: 10

» Probability » Distribution Functions and Properties

MCQ▾

Question

Which of the following statement is/are incorrect regarding a cumulative distribution function F ?

Choices

Choice (4) Response

a.

F can have only jump discontinuities.

b.

F is continuous from the right.

c.

F have countable number of discontinuities.

d.

None of the above

Question number: 11

» Probability » Distribution Functions and Properties

MCQ▾

Question

Which of the following is/are not correct regarding cumulative distribution function?

Choices

Choice (4) Response

a.

Two random variables cannot have same cumulative distribution function.

b.

Two different cumulative distribution functions cannot correspond to single random variable.

c.

Question does not provide sufficient data or is vague

d.

None of the above

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