Stratified sampling is a great way to gather information, but there are some common mistakes to avoid:
Choosing the Wrong Groups: If you pick categories that don’t matter for your study, you could end up with confusing results. For example, if you're looking at how much people earn, dividing them by age might not help at all.
Unbalanced Sample Sizes: If one group has way more people than another, it can unfairly influence your findings. This could lead to incorrect conclusions.
Making it Too Complicated: Having too many groups can make things confusing and hard to analyze. It's important to keep it simple.
By being aware of these mistakes, you can get a clearer and more accurate picture of what you're studying.
Stratified sampling is a great way to gather information, but there are some common mistakes to avoid:
Choosing the Wrong Groups: If you pick categories that don’t matter for your study, you could end up with confusing results. For example, if you're looking at how much people earn, dividing them by age might not help at all.
Unbalanced Sample Sizes: If one group has way more people than another, it can unfairly influence your findings. This could lead to incorrect conclusions.
Making it Too Complicated: Having too many groups can make things confusing and hard to analyze. It's important to keep it simple.
By being aware of these mistakes, you can get a clearer and more accurate picture of what you're studying.