Скачать или смотреть SAT Math — Data Analysis: Correlation vs. Causation | Reasoning First

This video teaches one of the most frequently tested and most misunderstood concepts on the SAT Math section:
the difference between correlation and causation.

You’ll learn how to correctly interpret scatterplots and tables — and, more importantly, how to avoid the SAT’s most dangerous traps, including:

Causal language traps (causes, leads to, results in)

Overgeneralization using “safe” words like tend to or associated with

Conditional relationships hidden inside the data

Why even strong correlations do not justify cause-and-effect claims

The lesson progresses step by step:

Concept overview

Beginner practice

Intermediate practice

Advanced practice with deceptive answer choices

Clear, test-ready key takeaways

This approach trains you to think the way the SAT expects —
say only what the data support, and nothing more.

Perfect for:

SAT Math test-takers

Students studying Data Analysis

Anyone who wants to master scatterplots, correlation, and causation

Study Tip

On the SAT, discipline beats intuition.
If a statement explains why something happens, it’s almost always wrong.

SAT Math, Data Analysis, Correlation vs Causation, Scatterplots, SAT Statistics, SAT Prep, SAT Traps, Test Strategy, College Board