StreamCart changed its mobile signup landing page and wants to know whether the observed conversion lift is statistically meaningful or just random variation.
You are given pre-change and post-change user-level conversion results from a 10-day measurement window. Treat this as a comparison of two independent proportions and determine whether the metric change is statistically significant.
| Group | Sample Size | Signups | Conversion Rate |
|---|---|---|---|
| Before change | 18,420 | 2,026 | 11.00% |
| After change | 18,105 | 2,118 | 11.70% |
Additional parameters:
| Parameter | Value |
|---|---|
| Significance level | 0.05 |
| Test type | Two-tailed |
| Confidence level | 95% |
{"alpha":0.05,"after_n":18105,"before_n":18420,"after_rate":0.117,"before_rate":0.11,"after_signups":2118,"before_signups":2026,"confidence_level":0.95}Output(none)