What Is a T-Test? A/B Testing with Statistical Confidence
Автор: Harness
Загружено: 2025-11-25
Просмотров: 12
When running A/B tests, how do you know if the results are actually meaningful — or just random chance? That’s where the t-test comes in.
In this video, we explain how t-tests help you evaluate whether changes in conversion rates, engagement, or performance metrics are statistically significant. You’ll learn how they work, when to use them, and why they’re essential for making confident product, marketing, and engineering decisions.
What You’ll Learn
• What a t-test is and how it works
• How to interpret p-values and reject the null hypothesis
• Welch’s t-test and why it’s preferred
• When to use a t-test in A/B testing
• Common limitations and assumptions to watch for
Timestamps
0:00 — What Is a T-Test?
0:28 — Real Example: A/B Testing Checkout Flows
0:48 — Null Hypothesis & P-Values Explained
1:22 — Welch’s T-Test: Why It’s Used at Harness
1:34 — Why T-Tests Improve Decision-Making
1:53 — Assumptions & Limitations
2:05 — When to Use a T-Test in Experiments
2:15 — Final Thoughts & Outro
Learn More
Harness Feature Flags & Experimentation
https://www.harness.io/products/featu...
Hashtags
#ABTesting #TTest #Experimentation #DataDriven #StatisticalTesting #FeatureFlags #Harness
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