Coupon Accepted Successfully!


Sampling and Non-Sampling Errors

Sampling Errors
  • The purpose of the sample is to take an estimate of the population.
  • Sampling error refers to the differences between the sample estimate and the actual value of a characteristic of the population (that may be the average income, etc.). 
  • It is the error that occurs when you make an observation from the sample taken from the population.
  • Thus, the difference between the actual value of a parameter of the population (which is not known) and its estimate (from the sample) is the sampling error.
  • It is possible to reduce the magnitude of sampling error by taking a larger sample.
Consider a case of incomes of 5 farmers of Manipur. The variable x (income of farmers) has measurements 500, 550, 600, 650, 700. We
note that the population average of ( 5 0 0 + 5 5 0 + 6 0 0 + 6 5 0 + 7 0 0 ) ÷ 5 = 3000 ÷ 5 = 600.
Now, suppose we select a sample of two individuals where x has measurements of 500 and 600. The sample average is (500 + 600) ÷ 2 = 1100 ÷ 2 = 550.
Here, the sampling error of the estimate = 600 (true value) - 550 (estimate) = 50.
Non-Sampling Errors
Non-sampling errors are more serious than sampling errors because a sampling error can be minimised by taking a larger sample. It is difficult to minimise non-sampling error, even by taking a large sample. Even a Census can contain non-sampling errors. Some of the non-sampling errors are:
Errors in Data Acquisition
This type of error arises from recording of incorrect responses. Suppose, the teacher asks the students to measure the length of the teacher's table in the classroom. The measurement by the students may differ. The differences may occur due to differences in measuring tape, carelessness of the students etc. Similarly, suppose we want to collect data on prices of oranges. We know that prices vary from shop to shop and from market to market. Prices also vary according to the quality. Therefore, we can only consider the average prices. Recording mistakes can also take place as the enumerators or the respondents may commit errors in recording or transcripting the data, for example, he/ she may record 13 instead of 31.
Non-Response Errors
Non-response occurs if an interviewer is unable to contact a person listed in the sample or a person from the sample refuses to respond. In this case, the sample observation may not be representative.
Sampling Bias
Sampling bias occurs when the sampling plan is such that some members of the target population could not possibly be included in the sample.

Test Your Skills Now!
Take a Quiz now
Reviewer Name