The aim of this study is to introduce R programming language, which became popular especially in recent years and to show how to interpret Results obtained through a sample application. For this purpose, the interface of R Studio program, its superior aspects, how to import the data to the program, a sample analysis and how to get support for the program were discussed. After explaining how R programming language emerged and its historical development, RStudio interface will be mentioned. The study shows how to perform the analysis with the help of functions after the installation of RStudio. Within the scope of sample analysis, the same achievement test for the statistics course was administered on 30 students who were randomly assigned to experimental and control groups before and after the experimental procedure. After taking the pre-test scores of the students under control, the presence of a statistically significant difference between the post-test scores of the experimental and control groups, to which two different methods were applied, was tested by covariance analysis. Within the scope of the research, it has been concluded that the use of the R program, which is free, open source and therefore can be developed, has a strong online user community and where fast software updates can be performed, should be expanded.