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Stratified Sample for Dummies

noun


What does Stratified Sample really mean?

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Hey there! So, let's talk about "Stratified Sample." I know it may sound a little fancy and confusing, but don't worry, I'm here to help you understand it easily and clearly. Now, imagine you have a big bag of colorful marbles, and you want to see what colors are most common in the bag. Instead of looking at every single marble, which would take a long time and be very tiring, you decide to take a smaller group of marbles that represents the bag as a whole. This smaller group is called a sample.

So, what is a stratified sample? Well, it's like having different categories or groups within that bag of marbles. Let's say you have four different colors of marbles in the bag: red, blue, yellow, and green. To get a stratified sample, you would make sure that your smaller sample has the same proportion of each color as the whole bag. This means that if the bag has 100 marbles with 50 red, 30 blue, 10 yellow, and 10 green, your stratified sample should also have 50% red, 30% blue, 10% yellow, and 10% green marbles.

Now, why would we want to use a stratified sample? Well, sometimes the whole population we want to study or learn about has different groups that are important to consider. For example, let's say we want to know which type of ice cream people prefer in a town with two neighborhoods: the city area and the beach area. We know that people in the city might have different preferences compared to those living near the beach.

If we just take a random sample without considering these neighborhoods, it might give us results that are not accurate or representative of the whole population. That's where stratified sampling comes in handy! We can make sure that our small group of people we're asking about their ice cream preferences has the same proportion of city-dwellers and beach-dwellers as the whole population. This way, our sample is more reliable and can provide us with better information.

So, in a nutshell, a stratified sample means dividing a population into smaller groups based on certain characteristics, and then selecting individuals from each group in a way that mirrors their proportions in the whole population. It helps us get a more accurate picture of what's going on in the larger group without having to study every single individual in it.

Does that make sense to you? Can you think of any other examples where using a stratified sample might be helpful? Feel free to ask if you have any more questions! Your understanding is what matters most to me.

Revised and Fact checked by Jane Smith on 2023-10-28 20:19:01

Stratified Sample In a sentece

Learn how to use Stratified Sample inside a sentece

  • If a group of 100 students are all randomly selected from different schools, and then 10 students are chosen from each grade level to form a smaller group, this smaller group is a stratified sample.
  • In a survey about favorite sports, if the participants are divided into different age groups such as kids, teenagers, and adults, and then a certain number of participants are randomly selected from each age group, this would be a stratified sample.
  • To determine the favorite ice cream flavor in a town, if the town is divided into different neighborhoods, and then a few people are randomly selected from each neighborhood to answer the survey, this would be a stratified sample.
  • In a study about the opinions on climate change, if participants are divided into different income levels such as low-income, middle-income, and high-income, and then a certain number of participants are randomly selected from each income level, this would be a stratified sample.
  • Let's say a company wants to know the job satisfaction of its employees across different departments. If they divide the employees into departments like marketing, finance, and sales, and then randomly select a certain number of employees from each department to participate in a survey, this would be a stratified sample.

Stratified Sample Synonyms

Words that can be interchanged for the original word in the same context.

Stratified Sample Hypernyms

Words that are more generic than the original word.

Stratified Sample Category

The domain category to which the original word belongs.