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一、一致性检验在生产或试验中,我们处理的数据总是有波动、有差异的,一致性检验就是检验这种差异纯粹是偶然的波动,还是也反映了工艺条件改变的影响。 1.平均值的t检验将第一讲中的试验结果表示式变换为: 如果自由度f=n-1时,选定显著性水平α(一般取0.05)查t分布表值为t_α,则 |t| t_α时,随机抽样结果是一致的; |t| t_α时,随机抽样结果有显著差
First, the consistency test In the production or testing, we always deal with the data fluctuations, there are differences, the consistency test is to test whether this difference is purely accidental fluctuations, but also reflects the impact of changes in process conditions. 1. The t-test of the mean transforms the expression of the test results in the first lecture to: If the degree of freedom is f = n-1, the significance level α (generally 0.05) is selected and the t-distribution table value is t_α. When |t| t_α, the random sampling results are consistent; when |t| t_α, the random sampling results are significantly different.