SAS Visual Statistics vs. G*Power
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Statistics | G*Power |
|---|---|---|
| Overall rating | 4.4 | 4.7 |
| Review count | 25 | 10 |
| Ease of use | 8.7 | 8.8 |
| Ease of setup | 8.3 | 9.0 |
| Quality of support | 9.0 | 9.3 |
| Meets requirements | 8.8 | 9.1 |
| NPS | 62.5 | 80 |
| Small Business | 32.0% | 40.0% |
| Mid-Market | 16.0% | 20.0% |
| Enterprise | 52.0% | 40.0% |
| Total page views | 80 | 79 |
| Total LLM citations | 4 | 194 |
SAS Visual Statistics
Multiple users can explore data, then interactively create and refine predictive models. Distributed, in-memory processing slashes model development time, quickly surfacing valuable insights you can act on.
- Ease of Use
- Machine Learning
- Analytics
- Customer Support
- Reporting
- Scalability
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.