Overview
Sampling is a fundamental concept in statistics that allows researchers to draw conclusions about a population without surveying every individual. By selecting a representative subset, researchers can save time and resources while still obtaining valuable insights. Understanding different sampling m...
Key Terms
Example: All students in a school.
Example: 50 students selected from a school.
Example: Drawing names from a hat.
Example: Sampling students from different grades.
Example: Choosing every 10th person on a list.
Example: Only surveying people in a specific area.
Related Topics
Data Collection Methods
Learn about various methods for collecting data, including surveys and experiments.
intermediateStatistical Inference
Explore how to make predictions or generalizations about a population based on sample data.
intermediateDescriptive Statistics
Understand how to summarize and describe the main features of a dataset.
beginnerKey Concepts
Random SamplingStratified SamplingSystematic SamplingSample Size