He plans for his sampling method. Which sampling method gives an equal chance to all units in the population to get picked?
A. Random
B. Accidental
C. Quota
D. Judgment
Correct Answer: A. Random
Random sampling gives equal chance for all the elements in the population to be picked as part of the sample. Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population. An unbiased random sample is important for drawing conclusions.
Option B: Accidental sampling, also known as grab or opportunity sampling, is a form of non-probability sampling that involves taking a population sample that is close at hand, rather than carefully determined and obtained. Accidental samples are not as experimentally sound as using random sampling and random assignment.
Option C: Quota sampling is defined as a non-probability sampling method in which researchers create a sample involving individuals that represent a population. Researchers choose these individuals according to specific traits or qualities.
Option D: A judgment sample, or expert sample, is a type of random sample that is selected based on the opinion of an expert. Judgment sampling is noble to provide detailed information about the difficulties in obtaining the distinction. A random sample would provide less bias, but potentially less raw information.