| 1 |
F(-∞) is always equal to. |
- A. Zero
- B. One
- C. Two
- D. Negative one
|
| 2 |
For a constant k, the variance of k is |
- A. zero
- B. k<sup>2</sup>
- C. k
- D. none of these
|
| 3 |
F (+∞) is always equal to: |
- A. 0
- B. Two
- C. One
- D. None of these
|
| 4 |
When two coins are tossed simulataneously the probability of at most one head is. |
- A. 1/2
- B. 1/4
- C. 3/4
- D. None of these
|
| 5 |
E(y-<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">μ</span>) is equal to |
- A. E(y)
- B. <span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">μ</span>
- C. zero
- D. y-<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">μ</span>
|
| 6 |
A student soved 25 questions from first 50 questios of a book to be solved. The prob, that he will solve the remaining all questions. |
- A. 0.25
- B. 0.51
- C. 1
- D. 0
|
| 7 |
the collection of all possible outcome of a random experimnet is called. |
- A. Sample point
- B. Sure event
- C. sample event
- D. simple event
|
| 8 |
If y =-7x then E(y) = ............... |
- A. E(x)
- B. -7X
- C. -7E(X)
- D. Zero
|
| 9 |
E(Y2) -[E(y)]2 is the formula, and to compute. |
- A. Variance of the random variable
- B. Mean of the random variable
- C. Both A and B
- D. None of these
|
| 10 |
The coins are tossed, the porbability of two tails is euql to. |
- A. 1/2
- B. 1/4
- C. 3/4
- D. 1
|
