Question

1. which sampling method gives every member of the population an equal chance to be selected? a. stratified sampling b. random sampling c. cluster sampling d. systematic sampling

Explanation:

• Stratified sampling divides the population into subgroups (strata) and samples from each stratum. While it can be useful, it doesn't directly mean every member has an equal chance in the overall population sampling process in the same sense as random sampling.
• Random sampling is defined such that every member of the population has an equal probability of being selected.
• Cluster sampling divides the population into clusters and then selects some clusters. Members within non - selected clusters have no chance of being selected in that stage, so not all members have an equal chance initially.
• Systematic sampling selects elements at regular intervals. If there is some periodic pattern in the population list, it may not give equal chance to all members (e.g., if the interval coincides with a pattern).

Answer:

B. Random sampling