| 1 |
A random variable is also called. |
- A. Chance variable
- B. Stochastic variable
- C. Discrete variable
- D. Both A and B
|
| 2 |
The probability distribution of discrete random variable is called is |
- A. Frequency distribution
- B. Probability distribution
- C. Probability mass function
- D. Both (a) and (b)
|
| 3 |
Probability distribution of a continuous random variable can be presented by |
- A. tabular form
- B. Formula
- C. Curve
- D. None of these
|
| 4 |
For two independent random variables, Var(x) = 14 and Var(Y ) = 5, then var (X-y) is equal to. |
- A. 9
- B. 70
- C. 19
- D. None of these
|
| 5 |
If one event is unaffected by the outcome of another event, the two events are said to be |
- A. Dependent
- B. Independent
- C. Mutually exclusive
- D. Both b and c
|
| 6 |
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
|
| 7 |
If x is a random variable with E(x) = 5 then E (3x - 2) = |
|
| 8 |
E(x) = Σxf(x) if it ________ absolutely. |
- A. Equal
- B. Converges
- C. Discrete
- D. None of these
|
| 9 |
The coins are tossed, the porbability of two tails is euql to. |
- A. 1/2
- B. 1/4
- C. 3/4
- D. 1
|
| 10 |
F(-<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">∞</span>) is always equal to |
- A. Zero
- B. One
- C. Two
- D. Negative one
|
