计量资料有较好的精确性、灵敏性和稳定性,包含信息丰富,其平均指标涵义明确,为研究者乐于采用,文献上频频出现。然而,由于对资料的性质理解不确功,致选择统计方法不当,其结果往往会损失部分信息,严重者则影响结论。这是统计分析中一个误区。以下是这个误区里的两种最多见情况。 Measurement data has good accuracy, sensitivity and stability, contains abundant information, and its average index has clear meaning, which is favored by researchers and frequently appears in the literature. However, due to the unreasonable understanding of the nature of the data, the choice of statistical methods is inappropriate, and the results often result in the loss of some of the information. In severe cases, the conclusions are affected. This is a misunderstanding in statistical analysis. The following are the two most common scenarios in this misunderstanding.