Probability-Distribution Functions and Properties [ISS (Statistical Services) Statistics Paper I]: Questions 1 - 5 of 5
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Question 1
Question MCQ▾
Let X be a continuous random variable with the following PDF
where, is a positive constant. The value of is?
Choices
Choice (4) | Response | |
---|---|---|
a. | 1 | |
b. | ||
c. | 2 | |
d. | All of the above |
Question 2
Question MCQ▾
Which of the following options could be the example of cumulative distribution function?
Choices
Choice (4) | Response | |
---|---|---|
a. | A, B and D | |
b. | C and D | |
c. | A, B and C | |
d. | None of the above |
Question 3
Question MCQ▾
Let be defined as follows:
For to be a cumulative distribution function, given is positive, following statement is correct:
Choices
Choice (4) | Response | |
---|---|---|
a. | ||
b. | ||
c. | None of the above | |
d. | All of the above |
Question 4
Question MCQ▾
Which of the following statement is/are incorrect regarding a cumulative distribution function ?
Choices
Choice (4) | Response | |
---|---|---|
a. | is continuous from the right. | |
b. | have limits from left | |
c. | is increasing | |
d. | None of the above |
Question 5
Question MCQ▾
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. | All of the above |