| 所組別: | 工業工程學系博士班 | 科目: | 工業工程基礎科目 --工程統計 | 考試時間: | 06月09日第 1節 |
| (a) | Compute P{X < Y}. |
| (b) | Find the distribution of X+Y. |
| (a) | If X and Y are independent binomial random variables with parameters (n,p) and (m,p), respectively, then the distribution of X+Y is also binomial with (m+n,p). |
| (b) | If X and Y are independent normal random variables with parameters |
| (a) | In matrix notation, the least squares method would require the minimization of |
| (b) | What are the assumptions regarding ε ? |
| (c) | Suppose that anther independent variable “tool type”is also included in the model. There are four different tool types available. Define a set of indicator (dummy) variables for tool type so that it can be included in the regression model. |
is an unbiased estimator of population variance | (a) | the sampled population has a normal distribution. |
| (b) | The distribution of the sampled population is unknown. |