SAT Math: Explain why random sampling enables generalization
16+ practice questions in Praczo
The concept, explained
- 1
A random sample is one in which every member of the population has an equal chance of being selected.
- 2
Only random samples allow valid generalization from the sample to the whole population.
- 3
Non-random samples (volunteers, convenience samples) introduce bias — the sample may not represent the population.
- 4
A larger random sample generally gives more precise estimates, but size alone cannot fix a biased sampling method.
- ✗ Assuming a large sample is automatically representative. A large convenience sample is still biased.
- ✗ Generalizing from a non-random sample to a broader population.
SAT-style practice
A researcher wants to estimate the average daily screen time of students at a large university. Which sampling method best supports a valid generalization?
Ready to master this concept?
Praczo tracks your mastery on all 183 SAT concepts — not just broad topics. One sample question is a start; drilling to mastery is how scores move.
3-day free trial — no credit card required