Statistical Dataprocessing SAS EG Statistical Dataprocessing
Code: STAT.2110

Credit units: 5 ECTS credits

Course objective:Provide the students with basic skills to use statistical software SAS Enterprise Guide. 

Teacher: Full-time teacher Christina Gustafsson

Lecture notes:
See: Moodle
The lecturer will email the Moodle key at the end of the week 43. Exercises: Will be published weekly in Moodle.
Practical Project = Empirical Work: Instructions and data set Will be published in Moodle during week 46.
Additional material in English Statistics Glossary Susan J. Slaughter & Lora D. Delwiche: The Little SAS Book for Enterprise Guide 4.2; The very basics of the book above is available here.
Additional material in Finnish Opas SAS Enterprise Guiden käyttäjälle Tilastosanasto suomi-englanti Hans Helenius ja Tero Vahlberg: Tilastomenetelmien soveltamisesimerkkejä SAS Enterprise Guide:lla -versio 4.1 (muutama kappale löytyy Tritoniasta)
Requirements for the credit units: EITHER active participation both in lecture and exercisegroups (attendance at 4 exercises and 3 lectures is compulsory) and a practical/empirical project/work (due date: 18th of December, 2015) OR an exam and a practical/empirical project/work (due date: week before the exam you are taking) Exams The exams will take place in the computer class room. The exam dates will be announced later. You should submit the empirical work at least week before the exam you are taking. You should enrol for the exam at latest week before by sending an email to: chg[ät]uva.fi subject: SAS EG Exam text: your name and student number