| 26. | The formula of mean of uniform or rectangular distribution is as |
| a. | mean = 4(b + a) ⁄ 2b |
| b. | mean = (b + a) ⁄ 2 |
| c. | mean = (b - 2a) ⁄ 4 |
| d. | mean = (2a + 2b) ⁄ 2a |
| View Answer Report Discuss 50-50! |
|
Answer: (b).mean = (b + a) ⁄ 2
|
| 27. | The normal distribution is also classified as |
| a. | Gaussian distribution |
| b. | Poisson distribution |
| c. | Bernoulli's distribution |
| d. | weighted average distribution |
| View Answer Report Discuss 50-50! |
|
Answer: (a).Gaussian distribution
|
| 28. | The probability which explains x is equal to or less than particular value is classified as |
| a. | discrete probability |
| b. | cumulative probability |
| c. | marginal probability |
| d. | continuous probability |
| View Answer Report Discuss 50-50! |
|
Answer: (b).cumulative probability
|
| 29. | If the sample size is 6 and the population is 50 from which it is drawn without replacement and the elements for success are 22 then the variance of hyper geometric probability distribution is |
| a. | 1.388 |
| b. | 2.388 |
| c. | 3.388 |
| d. | 4.388 |
| View Answer Report Discuss 50-50! |
|
Answer: (a).1.388
|
| 30. | The types of probability distributions by taking their functions of considerations must include |
| a. | posterior probability distribution |
| b. | discrete probability distribution |
| c. | continuous probability distribution |
| d. | both b and c |
| View Answer Report Discuss 50-50! |
|
Answer: (d).both b and c
|