Question

(03.02 mc)
you want to assess the attitudes toward math by the students in your school district. you decide to break the students into subgroups according to the math course in which they are enrolled. the subgroups, or strata, are integrated math i, integrated math ii, integrated math iii, pre - calculus, ap statistics, and ap calculus. you then conduct a random survey with 20 students from each subgroup.
the situation above is an example of which sampling type?

• bivariate sampling
• cluster sampling
• systematic sampling
• stratified random sampling

Explanation:

This sampling method involves dividing the entire population (students in the district) into distinct, non-overlapping subgroups (strata) based on math course enrollment. Then, a random sample is taken from each subgroup, which matches the definition of stratified random sampling. The other options do not fit: bivariate sampling relates to two variables, cluster sampling uses subgroups as whole units for sampling, and systematic sampling selects elements at regular intervals.

Answer:

Stratified random sampling