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一、无效假设和显著平准无效假设是测定样本与假设集团间或样本与样本间差异是否显著所做的反面假设。就是先假设两个样本来自同一集团其真差为零(因同一集团内的样本间差异是误差或称机误),即没有本质差异。如果无效假设成立,说明二样本间差异是由机会造成的误差,而不是由于样本间的本质不同所产生的真正差异,统计上称为差异不显著;如果无效假设不成立,说明二样本的差异不是由于机会而是由于其它原因造成,在统计上称差
First, the null hypothesis and the significant null hypothesis is to determine whether the sample and the hypothetical group or sample and sample differences made by the negative side of the hypothesis. That is, we assume that the two samples are from the same group and their true difference is zero (because there are errors or errors in the samples in the same group), there is no essential difference. If the null hypothesis is valid, it means that the difference between two samples is the error caused by opportunity, not the true difference caused by the difference of essence between samples, and the difference is not statistically significant; if the null hypothesis is not established, the difference between two samples is not Due to opportunities but due to other reasons, statistically poor