Question

31. Briefly explain sampling errors.​

Answer 1

Answer:

A sampling error is a statistical error that occurs when an analyst does not select a sample that represents the entire population of data and the results found in the sample do not represent the results that would be obtained from the entire population.

Answer 2

Answer:

Question :-

• Briefly explain sampling errors.

Answer :-

• Sampling error is defined as the amount of inaccuracy in estimating some value, which occurs due to considering a small section of the population, called the sample, instead of the whole population. It is also called an error. Sample surveys take into account the study of a tiny segment of population, so, there is always a particular amount of inaccuracy in the information obtained. This inaccuracy can be in the information obtained. This inaccuracy can be defined as error variance or sampling error.