Can systematic sampling improve the representativeness of samples compared with random sampling? why

Simple random sampling is to directly extract n elements from a population containing n elements according to the principle of equal probability to form a sample (n >: n). This method is simple and easy to learn, and the common method is drawing lots. However, this applies to the case where the overall unit is small.

Systematic sampling is a method to sort the number of elements in the whole population, then calculate a certain interval, and then extract elements according to a fixed number to form a sample. Suitable for large population and sample size. It should have a complete sampling framework, just like simple random sampling. For example, take 100 students from 3000 students, number the list of 3000 students in turn, and then take/kloc-0 every 30 students according to the formula k (sampling interval) =N (overall size) /n (sample size) =3000/ 100=30.

It can be seen that simple random sampling can not improve the representativeness of samples, while systematic sampling can improve the representativeness of samples!