Significance Testing Software – Choosing the Right Software for Your Needs
Significance testing tells us how confident we should be in a particular result. It allows us to quantify how likely it is that our findings capture a real effect, rather than just random noise. For example, let’s say a customer satisfaction survey finds that female customers are slightly more satisfied than male customers. How do we know whether the difference is noteworthy?
To answer that question, we need significance testing.
Statistical Testing in Q
Q automates a lot of the significance testing for you. Results that are significantly high are highlighted in blue, and those that are significantly low are marked in red. Q automatically chooses the most appropriate significance test based on the data you have selected. There’s no need to calculate standard errors, confidence intervals, or t-values — all that is computed behind the scenes.
Q Research Software comes with state-of-the-art significance testing tools:
- Effective sample size adjustments for weights to all tests
- Customizable significance level cut-offs
- False discovery rates
- t-tests with equal and unequal variances
