Normality check
Shapiro-Wilk: p = 0.34, 0.41
Both groups normal.
Parametric test path selected.
Research-grade statistical review
When the statistics are right,
you can focus on the science.
Proof behind every result
Licklider doesn't just make figures.
It shows you why each one is correct.
Shapiro-Wilk: p = 0.34, 0.41
Both groups normal.
Parametric test path selected.
Subject-like columns detected and evaluated.
No repeated observations across groups found.
Independence confirmed.
1 outlier detected in Treatment group.
| With outlier | Without outlier | |
|---|---|---|
| p value | 0.012 | 0.008 |
| Cohen's d | 0.81 | 0.85 |
Levene's test: p = 0.31
Variance difference detected.
Switched from Student's to Welch's.
Levene's test detected unequal variance.
Student's t-test would inflate Type I error here.
Welch's is valid regardless of variance equality.
95% CI selected and confirmed.
Export blocked if unselected.
Single primary comparison.
No correction required.
Every decision above was recorded automatically.
Timestamp, method, rationale — all exportable.
Research teams under review
"Licklider caught a pseudoreplication issue we would have otherwise missed. The audit trail made review much easier."
"We used to spend hours checking test selection. Now we spend that time interpreting the results."
"The export package answers the questions reviewers usually ask before they ask them."
"Licklider caught a pseudoreplication issue we would have otherwise missed. The audit trail made review much easier."
"We used to spend hours checking test selection. Now we spend that time interpreting the results."
"The export package answers the questions reviewers usually ask before they ask them."
Built for real review pressure
Real Statistical Engines
Licklider runs real statistical engines.
Assumptions are checked automatically.
Results are reproducible exactly.
Visible Reasoning
Every choice Licklider makes, from test selection to correction logic, is visible.
The reasoning stays logged, reviewable, and exportable.
Confidential Research
Licklider is built for confidential research workflows.
Analysis decisions stay visible to the researcher.
Exports remain traceable and reviewable.