| 1. | The runs test does not require the normality assumption .
游程检验不要求正态性假设。 |
| 2. | The mean of a normally distributed population lies at the center of its normal curve .
正态分布总体的平均数在正态曲线的中心。 |
| 3. | If, however, the sample sizes are large enough, we do not need the assumption of normality .
如果样本容量充分大，就不必做正态假设。 |
| 4. | For this quantity to be a meaningful measure of dispersion of the scale factors, the assumption of normality is again required .
该量是标度因数离散程度的一个有效的量度。就这个量来说，也要求正态性假定。 |
| 5. | to define a particular normal probability distribution, we need only two parameters: the mean(μ)and the standard deviation(θ).
确定一个具体的正态概率分布，只需要两个参数：平均数和标准差 |
| 6. | Method of estimate standard of teaching
应用正态总体假设检验评价教师教学水平 |
| 7. | An edgeworth expansion of a sum of extreme values
极值和的分布的渐近正态展开 |
| 8. | A result on asymptotic normality for time series sum
时间序列和渐近正态性的一个结果 |
| 9. | The observation of to normal distribution of population
对正态总体进行观测 |
| 10. | Likelihood ratio test of the lognormal population
对数正态总体的似然比检验 |
