Non-randomized sampling is based on **arbitrary** selection from a target population. In non-randomized sampling, researchers select individuals based on specific characteristics or criteria rather than using randomization techniques. This means that the selection process is subjective and can introduce bias, as it does not give all members of the target population an equal chance of being selected.

In contrast, random sampling methods (like probability sampling) ensure that every individual in the population has a known and equal chance of being included in the sample, which helps to produce more generalizable and unbiased results. Non-random methods may include convenience sampling, judgmental sampling, or purposive sampling, where the researcher actively selects participants based on the research requirements. Therefore, the correct answer to the question is:

**Answer: a. arbitrary**

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Non-randomized sampling is based on **arbitrary** selection from a target population. In non-randomized sampling, researchers select individuals based on specific characteristics or criteria rather than using randomization techniques. This means that the selection process is subjective and can introduce bias, as it does not give all members of the target population an equal chance of being selected.

In contrast, random sampling methods (like probability sampling) ensure that every individual in the population has a known and equal chance of being included in the sample, which helps to produce more generalizable and unbiased results. Non-random methods may include convenience sampling, judgmental sampling, or purposive sampling, where the researcher actively selects participants based on the research requirements. Therefore, the correct answer to the question is:

**Answer: a. arbitrary**

Knowee AI · Accepted Answer

Non-randomized sampling is based on **arbitrary** selection from a target population. In non-randomized sampling, researchers select individuals based on specific characteristics or criteria rather than using randomization techniques. This means that the selection process is subjective and can introduce bias, as it does not give all members of the target population an equal chance of being selected.

In contrast, random sampling methods (like probability sampling) ensure that every individual in the population has a known and equal chance of being included in the sample, which helps to produce more generalizable and unbiased results. Non-random methods may include convenience sampling, judgmental sampling, or purposive sampling, where the researcher actively selects participants based on the research requirements. Therefore, the correct answer to the question is:

**Answer: a. arbitrary**

Non-randomized sampling is based on ______ selection from a target populationQuestion 4Answera.arbitraryb.probabilityc.systematicd.raffle

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