Update RepositoryMining.md

fixed typos

docs/RepositoryMining.md

@@ -28,7 +28,7 @@ If the study focuses on predictive modeling (e.g. machine learning) consider the
 
 - [ ] defines unit(s) of analysis or observation
 - [ ] describes and justifies the data sources (e.g. GitHub, StackOverflow)
-    - (if the selected data source(s) are obscure) explains in detail why they are appopriate for the goals of the study (e.g. consider number of repositories data quality, terms and conditions that may limit access to information)
+    - (if the selected data source(s) are obscure) explains in detail why they are appropriate for the goals of the study (e.g. consider number of repositories data quality, terms and conditions that may limit access to information)
 - [ ] describes and justifies how the repositories are selected from the data sources (e.g. selection criteria, use of third-party tools, APIs, programming languages of choice)
 - [ ] describes how the inclusion and exclusion criteria were validated (e.g., by manually inspecting the results of the automated search)
 - [ ] describes the selected repositories