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本方法指的是在抽样范围内,根据以往的统计资料对所抽对象(下属单位)由两个方向(亩产和种植面积)进行分类排队,划分层区,然后分层抽样.此法系以概率定样点,将总样点数n(样本容量)合理地置于各层区,然后对各层区新分配的样点n_n随机选定抽样单位,这样,可使样点能较均匀地分布.此法成败的关键在于抽样主持人的决策.他除要选用一个适合于
This method refers to classifying the objects to be drawn (subordinate units) in two directions (mu and planting area) according to the past statistical data within the sampling range, dividing the strata and then stratifying the samples With the probability fixed sample points, the total number of samples n (sample size) is reasonably placed in each layer area, and then randomly selected sample points n_n in each layer area, so that the samples can be more evenly Distribution. The key to success or failure of this method is the decision-making of the sample host. In addition to his choice of a suitable