Final answer:
Stratified random sampling provides more precise estimates than simple random sampling by ensuring that subgroups of the population are adequately represented in the sample.
Step-by-step explanation:
One advantage of using stratified random sampling is that it provides more precise estimates than simple random sampling. By dividing the population into different groups called strata and selecting a proportionate number of individuals from each stratum, stratified random sampling ensures that subgroups of the population are adequately represented in the sample. This can lead to more accurate and reliable results, as it takes into account the variability present in different subgroups of the population.