Special introductory price! Designed by a Columbia University Biostatistics Ph.D. and author of "Hierarchical Models: What the Data are Really Telling Us", this app provides tables and examples that have been helping researchers and students learn statistics over the past decade.
It makes hypothesis testing easier a lot!
This application is created for making learning statistics easier. It covers from parametric tests (Z test, T test or analysis of variance) to non-parametric (Rank Sum test and Signed Rank test). For each test, it provides a table as well as the hypothesis statement related to the test. After that, it will show you the presentation of the test statistics and an example. This application can help student to build a solid foundation in statistics of a wide range of hypothesis testing.
Tips for using the product
You need to distinguish whether the test you need is parametric.