MCQOPTIONS
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This section includes 657 Mcqs, each offering curated multiple-choice questions to sharpen your Testing Subject knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Mean and variance of Poisson’s distribution is the same. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 2. |
Find the mean of tossing 8 coins. |
| A. | 2 |
| B. | 4 |
| C. | 8 |
| D. | 1 |
| Answer» C. 8 | |
| 3. |
Find f(2) in normal distribution if mean is 0 and variance is 1. |
| A. | 0.1468 |
| B. | 0.1568 |
| C. | 0.1668 |
| D. | 0.1768 |
| Answer» B. 0.1568 | |
| 4. |
If P(6) = λP(1) in Poisson’s distribution, what is the mean?(Approximate value) |
| A. | 4 |
| B. | 6 |
| C. | 5 |
| D. | 7 |
| E. | 4b) 6c) 5d) 7 |
| Answer» D. 7 | |
| 5. |
Find λ in Poisson’s distribution if the probabilities of getting a head in biased coin toss as \(\frac{3}{4} \) and 6 coins are tossed. |
| A. | 3.5 |
| B. | 4.5 |
| C. | 5.5 |
| D. | 6.6 |
| Answer» C. 5.5 | |
| 6. |
What is the mean and variance for standard normal distribution? |
| A. | Mean is 0 and variance is 1 |
| B. | Mean is 1 and variance is 0 |
| C. | Mean is 0 and variance is ∞ |
| D. | Mean is ∞ and variance is 0 |
| Answer» B. Mean is 1 and variance is 0 | |
| 7. |
If P(1) = P(3) in Poisson’s distribution, what is the mean? |
| A. | \(\sqrt{2} \) |
| B. | \(\sqrt{3} \) |
| C. | \(\sqrt{6} \) |
| D. | \(\sqrt{7} \) |
| Answer» D. \(\sqrt{7} \) | |
| 8. |
If the probability that a bomb dropped from a place will strike the target is 60% and if 10 bombs are dropped, find mean and variance? |
| A. | 0.6, 0.24 |
| B. | 6, 2.4 |
| C. | 0.4, 0.16 |
| D. | 4, 1.6 |
| Answer» C. 0.4, 0.16 | |
| 9. |
If the probability of hitting the target is 0.4, find mean and variance. |
| A. | 0.4, 0.24 |
| B. | 0.6, 0.24 |
| C. | 0.4, 0.16 |
| D. | 0.6, 0.16 |
| Answer» B. 0.6, 0.24 | |
| 10. |
The expectation of a random variable X (E(X)) can be written as _________ |
| A. | \(\frac{d}{dt} [M_X (t)](t=0) \) |
| B. | \(\frac{d}{dx} [M_X (t)](t=0) \) |
| C. | \(\frac{d^2}{dt^2} [M_X (t)](t=0) \) |
| D. | \(\frac{d^2}{dx^2} [M_X (t)](t=0) \) |
| Answer» B. \(\frac{d}{dx} [M_X (t)](t=0) \) | |