Back to Inference for Quantitative Data: Means

Lesson PreviewLesson 7 of 9 in this unit

7.7 Justifying a Claim About the Difference of Two Means Based on a Confidence Interval

Part of Inference for Quantitative Data: Means in AP® Statistics. Read the opening section, then create a free account for the full interactive lesson, practice, and progress tracking.

Interpreting a Two-Sample t CI

The same logic applies as in Unit 6:

If 0 is inside the CI for μ1−μ2{\mu_1 - \mu_2}:

  • No convincing evidence of a difference in means
  • Fail to reject H0:μ1=μ2{H_0: \mu_1 = \mu_2}

If CI is entirely positive:

  • Evidence that μ1>μ2{\mu_1 > \mu_2}

If CI is entirely negative:

  • Evidence that μ1<μ2{\mu_1 < \mu_2}

Key questions when interpreting:

  1. Does the interval include 0?
  2. What do the signs of the bounds tell us about the direction of the difference?
  3. How large is the difference practically (not just statistically)?

Statistical vs. practical significance: A CI can show a statistically significant difference (0∉{0 \notin} CI) but a tiny interval — a practically unimportant difference. Always consider the magnitude of the difference alongside whether it's significant.

Continue the full lesson in Stellar

Create a free account to unlock the remaining sections, checkpoints, course practice, and progress tracking for AP® Statistics.