Stratified sampling is often better than simple random sampling, especially when you are working with a mix of different groups of people.
Here are some benefits of stratified sampling:
Representation: By breaking the population into smaller groups (like age or income), you make sure each group is included. This helps you get more accurate results.
Lower Variability: Each smaller group is more similar to itself, which can lead to fewer mistakes in your results. This means your findings are a truer reflection of the whole population.
Greater Precision: You might not need as many people in your sample to feel confident in your results. This saves time and resources.
In short, stratified sampling helps you understand the overall population much better!
Stratified sampling is often better than simple random sampling, especially when you are working with a mix of different groups of people.
Here are some benefits of stratified sampling:
Representation: By breaking the population into smaller groups (like age or income), you make sure each group is included. This helps you get more accurate results.
Lower Variability: Each smaller group is more similar to itself, which can lead to fewer mistakes in your results. This means your findings are a truer reflection of the whole population.
Greater Precision: You might not need as many people in your sample to feel confident in your results. This saves time and resources.
In short, stratified sampling helps you understand the overall population much better!