Which of the following is a nonrandom sampling technique?

Question

BlackTom AI · Accepted Answer

To determine which option describes a nonrandom sampling technique, I will evaluate each choice in terms of whether randomness is involved.
Option 1: Quota sample. This method pre-sets certain characteristics (quotas) and the researcher selects units to fill those quotas, often by convenience or judgment rather than chance. Because the selection within each quota is not determined by a random process, this is considered nonrandom and can introduce selection bias.
Option 2: random sample. By definition, a random sample uses chance mechanisms (like random number generators or tables) to select units from the population, ensuring each unit has a known, nonzero probability of inclusion. This is the opposite of nonrandom sampling.
Option 3: Systematic. Systematic sampling involves selecting every k-th element from a list, often starting at a random point. While it can be implemented in a way that resembles randomness, it relies on a fixed interval and is generally categorized as a probability (random) sampling technique when the starting point is randomized. If the starting point is not randomized, it could introduce bias, but in standard practice it is treated as a probability method.
In summary, quota sampling (Option 1) is the nonrandom technique among the given choices, whereas random sampling (Option 2) and systematic sampling (Option 3) are typically considered random or probability-based approaches.

BRED001 Week 6 Problem solving _ sampling distribution of the sample mean

Which of the following is a nonrandom sampling technique?

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