Evaluating Statistical Claims
"Correlation does not imply causation" might be the most repeated phrase in statistics, but the SAT will still try to trick you with it. These questions ask whether a study's design actually supports the conclusion being made.
1. Easy - Quiz 1
Learn to tell the difference between experiments and observational studies, spot biased samples, and decide when a claim goes too far.
5 questions
average score: 53% (all users)
2. Medium - Quiz 1
Sharpen your ability to identify confounding variables, question sampling methods, and recognize when a study's design limits the conclusions it can support.
5 questions
average score: 100% (all users)
3. Hard - Quiz 1
Evaluate study designs at their limits: weigh internal versus external validity, catch subtle biases, and distinguish statistical significance from real-world importance.
5 questions
average score: 50% (all users)
Focus on three things: random assignment (needed for causation), random selection (needed for generalization), and sample size. If a study only surveys volunteers from one school, you can't generalize to all teenagers. Watch for answer choices that overreach what the data allows.