Statistical Significance: Understanding Survey Results

6 min read

Updated 2026-02-01

Guide

Statistical significance tells you whether observed differences in survey results are likely real or just random variation. Understanding this concept is essential for making valid conclusions.

Key Takeaways

•P < 0.05 is the conventional threshold
•Significance depends on sample size
•Statistical ≠ practical significance
•Confidence intervals show uncertainty range
•Larger samples detect smaller differences

The Basics

P-value: probability of seeing results by chance if no real difference. P < 0.05 means <5% chance results are random.

Interpretation

Significant: difference is likely real. Not significant: can't conclude there's a difference (doesn't mean no difference). Practical significance: is the difference large enough to matter?

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Frequently Asked Questions

Technically not significant at 0.05 threshold. Consider the context—borderline results warrant caution and possibly larger samples.

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