📊 How to Perform a B vs. C Test

  1. Identify Groups: Group B contains samples with the issue, and Group C has samples without it.
  2. Formulate Hypothesis: What might be causing the difference? This is your suspected Red-X.
  3. Set Up the Test: Ensure only the suspected Red-X differs between B and C. Control other factors.
  4. Collect Data: Measure both groups under similar conditions.
  5. Analyze: The system runs a t-test to compare group means.
  6. Interpret Results: If p < 0.05 and effect size is meaningful → Red-X is confirmed ✅

This test is one of the final steps in confirming your Red-X hypothesis with statistical evidence.

📊 B vs. C Test

Select Data Entry Mode: