What it is, importance and examples
Posted: Mon Jan 06, 2025 9:53 am
To conduct market research we need a representative sample . Can you imagine having to interview all the people in a city or country? It would definitely be very complicated and time-consuming.
Let's learn more about this concept and the types that exist.
Article content: hide
1 What is a representative sample?
2 Importance of having a representative sample
3 How to obtain a representative sample?
4 Avoid making sampling errors
5 Do you already have your representative sample? Now, use QuestionPro!
What is a representative sample?
A representative sample is a small number, part, or subset of a larger set or entity of cambodia phone number people, and has the same properties as the larger population of which it is representative.
For example, a class of 30 students with 15 males and 15 females might generate a representative sample that included six students: three males and three females.
Samples are useful in statistical analysis when the population size is large because they contain smaller, more manageable versions of the larger group.
A representative sample reflects, as accurately as possible, a larger group. So we can apply, for example, an online survey to a sample seeking to make it as representative as possible of our target population.
We will not have better results if, for example, we send a survey without taking into account representativeness and we do not know who answers it, and if the results really represent the opinion of our audience.
Let's learn more about this concept and the types that exist.
Article content: hide
1 What is a representative sample?
2 Importance of having a representative sample
3 How to obtain a representative sample?
4 Avoid making sampling errors
5 Do you already have your representative sample? Now, use QuestionPro!
What is a representative sample?
A representative sample is a small number, part, or subset of a larger set or entity of cambodia phone number people, and has the same properties as the larger population of which it is representative.
For example, a class of 30 students with 15 males and 15 females might generate a representative sample that included six students: three males and three females.
Samples are useful in statistical analysis when the population size is large because they contain smaller, more manageable versions of the larger group.
A representative sample reflects, as accurately as possible, a larger group. So we can apply, for example, an online survey to a sample seeking to make it as representative as possible of our target population.
We will not have better results if, for example, we send a survey without taking into account representativeness and we do not know who answers it, and if the results really represent the opinion of our audience.