Hypothesis testing represents an important part of statistical analysis. Various types of software rely on this tool as their main part. The present paper presents the software named TIN, which is designed by the authors, as well as the theoretical part that lays at the foundation of the programming code. In the case of a hypothetical example, we will use TIN for reading the experimental data. Then, still with the help of TIN, we will obtain the conclusions after applying the null hypothesis test, in two formats: .jpg and .txt. Their presentation is an easy one, as the main goal is to make TIN accessible to a large number of people who have little or no knowledge of statistics.

TIN, statistical analysis, software, null hypothesis test

Presentation: oral