G*Power vs. @RISK
A side-by-side comparison based on G2 review data.
| Metric | G*Power | @RISK |
|---|---|---|
| Overall rating | 4.7 | 4.2 |
| Review count | 10 | 11 |
| Ease of use | 8.8 | 8.6 |
| Ease of setup | 9.0 | 9.3 |
| Quality of support | 9.3 | 7.9 |
| Meets requirements | 9.1 | 8.6 |
| NPS | 80 | 45.454545 |
| Small Business | 40.0% | 18.2% |
| Mid-Market | 20.0% | 63.6% |
| Enterprise | 40.0% | 18.2% |
| Total page views | 79 | 353 |
| Total LLM citations | 194 | 2,007 |
G*Power
G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses.
@RISK
Probabilistic Risk Analysis in Excel From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK. @RISK integrates directly into Microsoft Excel and employs Monte Carlo simulation to map out all possible scenarios and the probability they will occur – taking the guesswork out of big decisions. With @RISK, you can calculate the chances of making money on your next venture, staying within budget, and more to plan strategies with confidence. Buy now or request a free trial to start uncovering new opportunities.