Population: The entire group being studied.
Sample: A subset of the population used to make inferences about the whole.
Random sampling gives every member of the population an equal chance of being selected — this minimizes bias and makes the sample representative.
| Sample Type | Biased? | Example |
|---|---|---|
| Random from full roster | No (good) | 50 students chosen by lottery |
| First 50 to enter cafeteria | Yes (biased) | Skews towards early arrivers |
| Friends or acquaintances | Yes (biased) | Similar opinions/backgrounds |
Inference: Using sample results to estimate population characteristics. Larger samples give more accurate inferences.