In research, random sampling is necessary to avoid any form of error.

(a) True

(b) False

Given Information

Statement: In research, random sampling is necessary to avoid any form of error.

There are two types of errors due to sampling; Sampling and non-sampling errors.

A sampling error can be avoided by random sampling, while a non-sampling error cannot be avoided by random sampling.

Random sampling

Random sampling is a method to select samples so that each sample has an even probability of being selected. It would always lead to an unbiased sample.

Moreover, other error forms are often left out like:

• Specification error: when the target population is not correctly examined.
• Response errors: when the responses are taken incorrectly.

Such errors are classified as non-sampling errors, which are difficult to trace in the research.

Hence, the statement is false.