Task 1: Make sure to have R and RStudio installed on your computer as explained in class and by the handout "BioStats-1-R-RStudio-2025.PDF" (see Session 12 contents posting on CourseLink). Task 2: Connect to the members of your study group for this assignment (see table on the next page). You could all meet. e.g. using MS Teams (first person in each group is responsible to invite the others!). Help each other and learn how to collaborate - it is an essential skill for your later work life. But it is now also for some students in class important to connect to others to exchange ideas and discuss concepts from the course, especially since not everyone has had worked with R/RStudio you all can help each other! Task 3: Solve the below questions as a group, but each group member must write-up and submit their own answers to the DropBox for marking purposes. Indicate all 4 group member's names on the top of your submission. (Note: should anyone not participate in the group work and do the assignment on its own, this can be indicated in the group list. I understand that some work on different time schedules or simply prefer to work on their own - no problem. This is an opportunity for group work and social networking!) Task 4: (Worth 5% of your final mark for the course) Start RStudio and explore the "pima" data from the faraway package and answer the following questions a) to e): a) How do you get information about the pima data, i.e. and internal R dataset? b) What is the sample