## Statistical software

- The main computer package used in the course will be MINITAB. This package will be used both for demonstrations in the lectures and for exercises.
- If you are used to the statistical package R, you may use it as an alternative, but detailed supervision of R will not be given.

### MINITAB

NTNU holds a cite license for MINITAB (Windows), and you may download it to your computer. You will find the needed information here: MINITAB at NTNU.

Note that the license key changes every year at February 28th, so that after this date you need to change the license file. Information on how to do this is given in the above link to MINITAB at NTNU.

MINITAB is also available on several of the data labs on campus.

If you want to run MINTAB but work on a mac or under linux you may run remote desktop to the Windows-servers cauchy.math.ntnu.no by logging in with your "win-ntnu-no" user account. The following are instructions to run a remote resktop to a server at the Maths department where MINITAB is installed when you are at the Vegas computer lab (or at your windows laptop if you do not want to install MINITAB -but have the remote desktop program).

- Start-All Programs-Accessoires-Remote Desktop Connection
- New window: Computer: cauchy.math.ntnu.no
- New window: win-ntnu-no\username and password

If you want to run a desktop from a mac you should download the "Remote Desktop Connection Client" from the following address and follow the instructions: download.

On youtube Minitab INC has a channel with introductions, I would recomment the "How to Get Started using Minitab 16" (enter and input data) and "How to Analyze Data with Minitab 16" (basic stats and hypothesis test) from this channel.

### MINITAB Tutorial for TMA4275

A tutorial for the use of MINITAB in the course is found here.

### MINITAB Macros for TMA4275

MINITAB-macros for Nelson-plot, TTT-plot, and Barlow-Proschan's test can be downloaded here.

### R

R is available for free download at The Comprehensive R Archive Network (Windows, Linux and Mac).

It is recommended to install Rstudio which is an integrated development environment (system where you have you script, your run-window, overview of objects and a plotting window). I'll demonstrate at the lectures.

A nice introduction to R is the book P. Dalgaard: Introductory statistics with R, 2nd edition, Springer and several manuals can be found at CRAN.

If you are unfamiliar with R, it is suggested that you go through the interactive session in Appendix A in the manual “An Introduction to R”, which comes with the software.

At youtube there are several videoes that introduces R and specific topics.