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随着经济形势的发展变化,统计工作使用抽样调查方法已成为统计工作领域的一项重要内容。抽样调查是一种非全面调查,它包括样本调查和推断总体两个方面。这种方法就是在研究某一总体的综合指标时,不去研究总体的所有各个单位,而是根据科学的统计只从总体中按照随机的原则抽取一部分样本来进行实际调查,然后运用数理统计的原理以抽样总体的数量特征来推断全及总体的数量特征。抽样调查是观察和研究大量随机现象的调查。实践证明,观察和研究了大量的同一随机现象后,通常总能揭露出一种完全确定的规律性。这种规律性并不是大量杂乱现象的想像平均数,也并非用人的思维来整理这些杂乱的
With the development and changes in the economic situation, the use of sample surveys in statistical work has become an important part of the field of statistics. A sample survey is a non-comprehensive survey that includes both sample surveys and general inferences. Instead of studying all the units in a whole while studying a certain overall composite index, this method is based on the fact that only a part of the samples drawn from the population according to the principle of randomness are scientifically collected for actual investigation, and then mathematical statistics are used The principle of quantitative characteristics of the total number of samples to infer the overall and quantitative characteristics. A sample survey is a survey that observes and studies a large number of random phenomena. Practice has proved that observation and study of a large number of the same random phenomenon, usually can always reveal a completely determined regularity. This regularity is not an imaginary average of a large number of clutter, nor is it a person’s thinking to defragment these clutter