2012/2013 BAPSTA Statistics and Research Methods
English Title  
Statistics and Research Methods 
Course information 

Language  English 
Exam ECTS  10 ECTS 
Type  Mandatory 
Level  Bachelor 
Duration  One Semester 
Course period  Autumn 
Time Table  Please see course schedule at eCampus 
Study board 
Study Board for BSc/MSc i International Business and Politics, BSc

Course coordinator  


Main Category of the Course  


Last updated on 21082012 
Learning objectives  
The major goal of the statistics course is to produce statistically educated students which mean that students should develop statistical literacy and the ability to think and reason statistically. The student should be able to:


Examination  


Examination  
Written group synopsis (1015 standard pages) followed by an individual oral exam, graded by teacher and a second internal examiner. The group consists of 35 students. The grade is based entirely on the oral exam. Makeup/reexam when ill at the oral exam and when the ordinary exam is failed, is an individual oral exam (20 minutes per student) based upon the same synopsis. The reexam is in February. Makeup exam when ill during the writing of the synopsis is a 20 minutes oral exam with 20 minutes open book preparation in the entire curriculum. 

Prerequisites for attending the exam  
It is a prerequisite for attending the oral exam that the synopsis has been handed in.  
Course content  
Statistics is very important for upon it depend the practical application of every other science; it only gives the results of our experience. The course stress conceptual understanding rather than mere knowledge of statistically procedures. The emphasize is on interpretation and understanding of simple statistical methods as applied in social science, business economy as well as political economy. The major parts of the curriculum are: · Descriptive statistics, both numerical and graphical. · The basic laws of probability, and the most important probability distributions. · Statistical inference; confidence intervals and significance tests about hypotheses. · Analysis of categorical variables using contingency tables. · Regression analysis; simple, multiple and logistic. · Oneway and twoway analysis of variance. · Nonparametric statistics. 

Teaching methods  
Lectures w/ discussions, computer labs, groupwork for synopsis  
Expected literature  
Book: Agresti A., C. Franklin (2008): “Statistics: The Art and Science of Learning from Data”, Prentice Hall. Agresti A. (1996): “An Introduction to Categorical Data Analysis”, Wiley. Chapter 2: p. 1632, Chapter 3: p. 5360, Chapter 4: p. 7177, Chapter 5: p. 103114 and p. 118119. Software Package: JMP 
Last updated on 21082012