AP Statistics
Advanced Placement Statistics covering data analysis, probability, and statistical inference.
Advanced Topics
Sampling Methods and Experimental Design
Choosing Who and What to Study
Getting good data starts with choosing the right sample and designing fair experiments.
Types of Sampling
- Simple random sample: Everyone has an equal chance.
- Stratified sample: Divide the population into groups, then sample from each.
- Cluster sample: Randomly select entire groups.
Experimental Design
Good experiments control for variables and use random assignment to avoid bias. They often include:
- Control groups
- Randomization
- Replication
Why It Matters
The way you gather data affects what you can conclude. Good design leads to trustworthy results.
Examples
A pollster uses a stratified sample to ensure all age groups are represented in a survey.
A scientist randomly assigns participants to receive a new medication or a placebo.
In a Nutshell
Learn how to choose samples and design experiments for reliable results.