一切农业试验都是取样研究,不能对全部试验材料都进行研究。我们所获得的资料,是从总体中抽出的样本,样本与总体间总会有一定的差异,显著性检验(也称假设测验)就是确定产生差异的原因。差异原因有两方面:一是误差,即由土壤、环境及管理不一致所造成的差异,称差异不显著。二是处理效应,即不同处理间的差异,称差异显著。显著性检验是根据统计数的概率分布和所得试验结 All agricultural tests are sampling studies and can not be studied on all experimental materials. The information we have obtained is a sample drawn from the population. There will always be some differences between the sample and the population. The significance test (also called hypothesis test) is the reason for the difference. Differences for two reasons: First, the error, that is caused by soil, environmental and management inconsistencies, said the difference was not significant. The second is to deal with the effect, that is, the difference between different treatments, said the difference was significant. The significance test is based on the probability distribution of statistics and the resulting test results