|
Tashkent against information technology
|
| bet | 1/4 | | Sana | 19.05.2024 | | Hajmi | 353,98 Kb. | | #244385 |
Bog'liq lesson.6
TASHKENT AGAINST INFORMATION TECHNOLOGY
TT BRANCH 13/23 GROUP’S STUDENT
of Pardayev Sohibjon
_FROM ENGLISH LANGUAGE ____________________________________________
INDEPENDENT WORK
Cluster Sampling: Definition, Method and Examples
Cluster sampling is defined as a sampling method where the researcher creates multiple clusters of people from a population where they are indicative of homogeneous characteristics and have an equal chance of being a part of the sample.
Consider a scenario where a data organization is looking to survey the performance of smartphones across Germany. They can divide the entire country’s population into cities (clusters), select further towns with the highest population, and filter those using mobile
What is Cluster Sampling?
Cluster sampling is a probability sampling technique where researchers divide the population into multiple groups (clusters) for research. So, researchers then select random groups with a simple random or systematic random sampling technique for data collection and unit of analysis.
Example: A researcher wants to conduct a study to judge the performance of sophomores in business education across the U.S. It is impossible to conduct a research study that involves a student in every university. Instead, cluster sampling allows the researcher to club the universities from each city into one cluster. These clusters then define the sophomore student population in the U.S. Next, either using simple random sampling or systematic random sampling and randomly picking clusters for the research study. Subsequently, by using simple or systematic sampling, the sophomore’s from each of these selected clusters can be chosen on whom to conduct the research study.
In this sampling technique, researchers analyze a sample that consists of multiple sample parameters such as demographics, habits, background – or any other population attribute, which may be the focus of conducted research. This method is usually conducted when groups that are similar yet internally diverse form a statistical population. Instead of selecting the entire population, cluster sampling allows the researchers to collect data by bifurcating the data into small, more productive groups.
|
| |
