The error of the sampling survey refers to the cause of the sampling error

Sampling error refers to the absolute deviation between the sampling index and the global index due to the accidental factors of random sampling, which makes the structure of each unit of the sample insufficient to represent the structure of the units in the population. It must be pointed out that sampling error is different from registration error, which is an error caused by errors in observation, registration, measurement and calculation in the course of the survey, which can occur in all statistical surveys. Sampling error is not caused by survey errors, but by errors specific to random sampling.

The differences in individual disadvantage and stimulus among the research subjects are the essential reason for the sampling error. Sampling studies that study only a part of the population and not all parts cannot be equal to all, so sampling errors are generated.

Sampling error refers to the absolute deviation between the sampling index and the total and sum index caused by the difference in the representativeness of the structure of each unit of the sample to the structure of the whole unit due to the accidental circumference of random sampling. For example, the absolute deviation between the sampling mean and the population mean, the absolute deviation between the sampling percentage and the population percentage, and so on.

Sampling error is an error that is specific to sampling. Sampling error will inevitably occur whenever sampling, although this error is unavoidable, but it can be controlled, so it is also called controllable error. The sampling error is different from the other two errors.

The main factors affecting the size of the sampling error are:

1. The degree of difference in the flag value of the overall unit. The greater the degree of difference, the greater the sampling error, and the smaller the anti-rental socks.

2. The number of sample units. All other things being equal, the greater the number of sample units, the smaller the sampling error.

3. Sampling method. The sampling error is different depending on the sampling method. Generally speaking, repeated sampling is more error than no repeated sampling.

4. The organizational form of the sampling survey. The sampling error of sampling surveys is different depending on the organizational form, and the degree of reasonableness of the same organizational form will also affect the sampling error.

Answer]: Error in a sample survey is the gap between the sample statistic and the corresponding parameters of the population. This error can be roughly divided into two categories, namely the non-sampling error and the sampling error.

Non-sampling error refers to the error that occurs in the process of survey registration and the systematic bias of the scarcity due to subjective factors that undermine the principle of randomness. Registration errors exist in both full and sample surveys.

Sampling error refers only to the occasional representativeness error due to the randomness of sampling, and does not include registration error and bias caused by non-observance of the principle of randomness.