此次分析，我深入了解了抽样的方法，灵活运用并且将其生活中的例子进行分析

In this analysis, I have an in-depth understanding of sampling methods, flexible use and analysis of examples in their lives. In equal probability cluster sampling, there are unbiased estimation method and ratio estimation method. The latter has two methods: ratio estimation method with cluster size as auxiliary variable and ratio estimation method with independent variable as auxiliary variable. In order to distinguish There are two very confusing overall estimation methods: ratio estimation and unbiased estimation. The distinction between the two is based on the number of sampling units. Only the population based on the average of the number of sampling units is an unbiased estimate, and the population based on the sample values ​​calculated based on the other flag values ​​of the sampling units is Ratio estimation.

In this analysis, I have a deep understanding of the sampling method, flexible use, and analyze the examples in my life. In the equal probability cluster sampling, there are unbiased estimation method and ratio estimation method. The latter includes ratio estimation method with group size as auxiliary variable and ratio estimation method with independent variable as auxiliary variable. The distinction between the two is based on the number of sampling units. Only the population calculated by the average of the number of sampling units is unbiased estimation. The population calculated by the sample values calculated by other flag values of sampling units is ratio estimation.<br>

In this analysis, I deeply understand the sampling method, apply it flexibly and analyze the examples in my life. In equal probability cluster sampling, there are unbiased estimation method and ratio estimation method. The latter has two methods: ratio estimation method with group size as auxiliary variable and ratio estimation method with independent variable as auxiliary variable, in order to distinguish two easily confused overall estimation methods: ratio estimation and unbiased estimation. The distinction between the two is based on the number of sampling units. Only the population based on the average calculated by the number of sampling units is unbiased estimation, and the population based on the sample values calculated by other marks of sampling units is ratio estimation.