Faculty
Christian Haxholdt and TA

Course Coordinator
Christian Haxholdt, Center of Statistics, Solbjerg Plads 3.

None

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.

Upon statistics depend the practical application of every other science; statistics only gives the results of experience. Emphasize is on interpretation and understanding of simple statistical methods as applied in business, economics, different types of companies or institutions and industries.

The topics of the curriculum are:

· The basic laws of probability, and the most important probability distributions.

· Descriptive statistics, both numerical and graphical.

· Statistical inference; confidence intervals and significance tests about hypotheses.

· Analysis of categorical variables using contingency tables.

· Regression analysis; simple, multiple, covariance, logistic.

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

Communicate the conclusions of statistical analysis clearly and effectively, i.e identify connections between basic statistics and the real world.

After having completed the course the students 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, discrete, and continuous, using contingency tables, correlation, regressions, and analysis of variance.

· Communicate the conclusions of statistical analysis clearly and effectively, i.e identify connections between basic statistics and the real world.

Exam form: Written 4-hour open book exam, graded by internal examiner on the 7-point scale.The make-up and re-examination takes place according to the same rules as the regular examination.

Exam aids: Students are allowed to bring textbooks, lecture notes and dictionaries. Electronic devices (Laptop and Personal Computers etc.) are not allowed except for non-programmable calculators.

Lectures and exercises.

Book: Agresti A., C. Franklin (2007): “Statistics: The Art and Science of Learning from Data”, Prentice Hall.

Notes: Christian Haxholdt C. (2009): “Introduction to Elementary Probability”. Software Package: JMP.