2010/2011  BA-PSTA  Statistics

 English Title Statistics

Course Information

Language English
Point 10 ECTS (300 SAT)
Type Mandatory
Level Bachelor
Course Period
Time Table Please see course schedule at e-Campus
Study Board
Study Board for BSc in Service Management
Course Coordinator
• Dorte Kronborg, dk.mes@cbs.dk, Center of Statistics, Solbjerg Plads 3
Dorte Kronborg - Department of Finance
Main Category of the Course
• Statistics and mathematics

Taught under Open University-Taught under open university.
Last updated on 29 maj 2012
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:
• Analyze a problem to identify the given information and produce data that can provide answers to properly posed questions.
• Use graphical and numerical methods for exploring and summarizing data on a single categorical or quantitative variable.
• Describe basic probability and how probability helps us understand randomness in our lives, as well as grasp the crucial concept of a sampling distribution and how it relates to inference methods.
• Choose and justify appropriate descriptive and inferential methods for examining and analyzing data and drawing conclusions.
• Analysis of the association between variables, categorical, continuous and both, using contingency tables, correlation, regressions, and analysis of variance.
• Communication of the conclusions of statistical analysis clearly and effectively, i.e identify connections between basic statistics and the real world.
 Exam Period May/June
Examination
Prerequisites for Attending the Exam
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.

· One-way and two-way analysis of variance.

· Non-parametric statistics.

Teaching Methods
Lectures, class discussions
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. 16-32, Chapter 3: p. 53-60, Chapter 4: p. 71-77, Chapter 5: p. 103-114 and p. 118-119.

Software Package: JMP