What is the difference between the Nonsampling error and Sampling error?

The differences between the nonsampling error and sampling error are provided in the following points:

1. A nonsampling error occurs because of sources other than the sampling when conducting examination exercises. Whereas, a sampling error appears because of the selected sample, which does not exactly indicate the required population.

2. A nonsampling error can be of a random or non-random type. Whereas, a sampling error is always of a random kind.

3. A nonsampling error can occur both in the census as well as in the sample. In contrast, a sampling error always happens when a sample is chosen.

4. A nonsampling error causes a deficiency in data analysis. Whereas, a sampling error results in the variation between the population mean and sample mean.

5. A nonsampling error has no relativity with the sample size. In contrast, the possibility of having an error is contracted with the increment of sample size in a sampling error.