What is it called when all the items in the population have the same chance of being selected for the sample?
Click on the arrows to vote for the correct answer
A. B. C. D. E.B
When every item in a population is selected at random, each have the same probability of being selected.
The correct answer to the question is B. Simple Random sampling.
Simple Random sampling is a sampling technique in which every item in a population has an equal and independent chance of being selected for the sample. It involves selecting a subset of individuals from a larger population in such a way that each member of the population has an equal probability of being chosen.
Here's a more detailed explanation of the other answer choices:
A. Cluster sampling: Cluster sampling is a sampling technique in which the population is divided into clusters or groups, and a random sample of clusters is selected. All individuals within the selected clusters are included in the sample. In cluster sampling, not all items in the population have an equal chance of being selected, so it is not the correct answer for this question.
C. Judgment sampling: Judgment sampling is a nonprobability sampling technique in which the researcher selects individuals based on their judgment or expertise. The researcher uses their subjective judgment to choose participants who they believe will provide the most relevant or representative information. Since not all items in the population have an equal chance of being selected, judgment sampling is not the correct answer.
D. Nonprobability sampling: Nonprobability sampling is a sampling technique in which the selection of individuals is based on nonrandom criteria. It does not involve random selection, and therefore, not all items in the population have an equal chance of being selected. Nonprobability sampling includes various methods such as convenience sampling, quota sampling, and purposive sampling. Since not all items in the population have an equal chance of being selected, nonprobability sampling is not the correct answer.
E. None of these answers: This option suggests that none of the provided answer choices is the correct answer. However, based on the explanations provided above, the correct answer to the question is B. Simple Random sampling.
In summary, simple random sampling is the sampling technique in which all items in a population have an equal chance of being selected for the sample. It ensures that the sample is representative of the population and reduces the potential for bias.