Two-proportion z-test (lite)
ClientCompare two binomial proportions with a z-test demo.
Two-proportion z-test demo
Uses pooled proportion for SE—intended for large-sample classroom demos, not small-count exact tests. Processing runs in your browser—Toolcore does not need your paste for the core operation on this page.
Educational statistics only—confirm assumptions and sample size before production analysis.
How to use
Paste or type in the main field, then read the output below. Use Load example when available, or open the page with ?q= / ?qb= so tickets and agents share the same input.
Nearby workflows on Toolcore
- Wilson proportion CI — Wilson score interval for a binomial proportion. Useful when the same dataset needs another summary statistic.
- Math expression evaluator — Evaluate basic + − × ÷ arithmetic with parentheses in your browser—no variables. Useful when the same dataset needs another summary statistic.
- Sample mean — Arithmetic mean of comma-separated numbers. Useful when the same dataset needs another summary statistic.
- Pearson correlation — r from x,y pairs—one per line. Useful when the same dataset needs another summary statistic.
Common use cases
- Two-proportion z-test (lite) for quick local checks without uploading data.
- Copy results into tickets, docs, or classroom notes.
Common mistakes to avoid
Unexpected input shape
See the intro and how-to notes for accepted formats.
FAQ
Is processing local?
Yes—this runs entirely in your browser.
Agent prefill?
Use q or qb for the main text field when supported.
More tools
Related utilities you can open in another tab—mostly client-side.
Wilson proportion CI
ClientWilson score interval for a binomial proportion.
Math expression evaluator
ClientEvaluate basic + − × ÷ arithmetic with parentheses in your browser—no variables.
Sample mean
ClientArithmetic mean of comma-separated numbers.
Pearson correlation
Clientr from x,y pairs—one per line.