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Confidence Intervals — Complete SAT Math Guide

🎯 What You'll Master

Confidence intervals appear on the SAT in the Problem Solving & Data Analysis domain. This lesson covers everything you need: definitions, interpretation, comparing intervals, evaluating claims, and sample size calculations — with 7 fully worked examples and practice problems.

1. What Is a Confidence Interval?

A confidence interval (CI) is a range of values calculated from sample data that likely contains the true population parameter.

It is written as: (lower bound, upper bound)

Example: A 95% confidence interval for average height is (165 cm, 172 cm).
This means: We are 95% confident the true population average height falls within this range.

Think of it as casting a net: the confidence interval is the net, and the true population value is the fish we're trying to catch.

2. What Confidence Level Means

A 95% confidence level means:

If we repeated the sampling process many times, approximately 95% of the resulting intervals would contain the true population value.
❌ INCORRECT Interpretation

"There is a 95% probability the true value is in this specific interval."

The true value is fixed — it either IS or IS NOT in the interval. There's no probability about it for a specific interval.

✅ CORRECT Interpretation

"We are 95% confident the true population parameter falls between the lower and upper bounds."

The confidence is about the method, not about any single interval.

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In the full lesson

  • The complete explanation
  • Worked examples
  • Common mistakes and how to avoid them
  • Test questions: 15
  • AI tutor that answers questions about the topic
  • Progress tracking for students, parents and teachers