This course gives an introduction to statistics using the program package R as an important tool. It contains descriptive statistics, discrete probability models, distributions of one and two variables and a little about covariance and correlation. In the statistics part the basic theory of hypothesis testing and p-values is explained. Moreover, one looks at categorical data for one and two samples, linear and multiple regression.The students also have to go through a number of computer exercises interpreting output from R.
Learning Outcomes
The course should make the students able to use common statistical methods. Moreover, the students should be able to use the R package and interpret its output. Another important point is that they students should be capable of distinguishing between theoretical and empirical quantities. The course makes it possible to continue with further studies in statistics in Stat200.
Recommended Previous Knowledge
R1/2MX (Intermediate level of mathematics from Norwegian high school)
Compulsory Assignments and Attendance
Forms of Assessment
Written exam, 5 hours.
Examination support materials: Non- programmable calculator, according to model listed in faculty regulations
Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.