The drama teacher at a high school wants to conduct a survey to determine the percentage of students in the school who are willing to pay a fee for participating in clubs. Ten students are selected from each of the drama teacher's classes to complete the survey. This plan is an example of which type of sampling? Cluster Simple random Systematic Stratified random

This sampling method is known as stratified random sampling. In this case, the drama teacher is dividing the population (students in the school) into different classes (strata) and then randomly selecting a set number of students from each class to ensure that all groups are represented in the survey results. By using stratified random sampling, the teacher can achieve a more accurate representation of the entire student body’s willingness to pay for club participation. This way, every class has a voice in the survey, reducing the bias that might occur if students were only selected from one class or through other sampling methods.