Exercise

Equal counts stratified sampling

If one subgroup is larger than another subgroup in the population, but you don't want to reflect that difference in your analysis, then you can use equal counts stratified sampling to generate samples where each subgroup has the same amount of data. For example, if you are analyzing blood types, O is the most common blood type worldwide, but you may wish to have equal amounts of O, A, B, and AB in your sample.

attrition_pop is available; dplyr is loaded.

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Use equal counts stratified sampling on attrition_pop to get 30 employees from each Education group. That is, group by Education and perform a simple random sample of size 30 on each group.
Ungroup the stratified sample.