New Register for Workshop on How to start for NABARD 2025 (Stepwise Plan) - Apr 26, 7 PM

    Question

    Which of the following best describes non-random

    sampling?
    A Data is selected based on a pre-determined rule or algorithm Correct Answer Incorrect Answer
    B Every individual in the population has an equal chance of being selected Correct Answer Incorrect Answer
    C Data is selected based on the researcher's judgment or convenience Correct Answer Incorrect Answer
    D Each sample is chosen at fixed intervals from the population Correct Answer Incorrect Answer
    E Samples are randomly selected but from predetermined strata Correct Answer Incorrect Answer

    Solution

    Non-random sampling involves selecting samples based on the researcher’s judgment or convenience rather than at random. This technique is commonly used when it is difficult or costly to select a random sample from a large population. Examples of non-random sampling include convenience sampling, where samples are chosen based on their availability, or judgment sampling, where the researcher selects a sample they believe to be representative. While non-random sampling is quicker and cheaper, it carries a higher risk of bias because it doesn’t give every member of the population an equal chance of selection. Why Other Options Are Wrong : A) Incorrect : This option describes a systematic sampling approach, which is a form of random sampling, not non-random. B) Incorrect : This is the definition of random sampling , where every individual has an equal chance of being selected. D) Incorrect : This describes systematic sampling , where every nth individual is selected. E) Incorrect : This refers to stratified random sampling , which is a random technique that selects samples from specific strata to ensure representation from each subgroup.

    Practice Next