![]() Outliers or non-normal distributions create misleading results. For example, t-tests on relatively small samples require normally distributed data to be accurate. In addition, Stats iQ intelligently mitigates violations of the assumptions of statistical tests. Stats iQ runs the test with the least assumptions. For example, independent samples t-tests can be calculated in several ways, depending on whether equally sized samples or variances are assumed. Whenever possible, Stats iQ defaults to tests that have fewer assumptions. This page describes overarching themes of Stats iQ’s approach, and the following describe specific decisions for specific tests: Basic Assumptions Stats iQ selects statistical tests with the goal of making statistical testing intuitive and error-free. Experience Design for Workplaces: Office Program.Experience Design for Workplaces: Hybrid XM Solution.Diversity, Equity, & Inclusion Solution.Higher Education: Remote Learning Pulse.Public Health: COVID-19 Pre-Screen & Routing XM Solution.Remote + On-site Work Pulse XM Solution. ![]() Troubleshooting the Qualtrics Vaccination & Testing Manager Solution.Using a Mailing List to Survey Synchronizer in COVID-19 Response Solutions.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |