Select the correct sampling technique that was used. The population of college professors is divided into groups according to their rank (instructor, assistant professor, etc.) and then several are selec each group to make up a sample. A cluster B stratified C simple random D convenience E systematic

The technique used in this scenario is akin to choosing from each party in a grand academic soirée! By dividing the population of college professors into groups based on their rank and then selecting individuals from those groups, we ensure a diverse representation that mirrors the whole population. This way, every rank gets its moment in the spotlight! Now, imagine you're picking teams for a game, and you want everyone to have a fair chance. This is similar to how stratified sampling increases the accuracy of the sample by ensuring that different ranks are proportionately represented, capturing the diverse experiences and perspectives of professors across all levels.