Statistics - Basic and advanced

Microeconomics
Macroeconomics

The aim of the course is to provide the students with an understanding of how data is used in decision-making, enabling them to collect and analyse data for decision-making purposes within the field of economics. Additionally, the aim is to enable the students, critically and on a scientific basis, to read and assess statistics reports and surveys.

The course contains the following elements:
- Descriptive statistic.
- Stochastic variables and probability distribution
- Binomial and normal distribution
- Sampling and sampling distribution
- Point and interval estimators.
- Hypothesis testing one sample tests
- Hypothesis testing two sample tests
- Correlation and regression analysis
- Multiple regression
- Building Multiple regression Models
- Time Series Analysis
- Design and Analysis of Experiments and Observational studies
- Introduction to Data Mining
- Statistical applications in quality management
- Apply statistic computation programs as JMP, SPSS, SAS similar.

In order to achieve the learning targets of the course, the student must acquire sufficient knowledge about the terminology, theories and methodologies of the course to be able to structure a specific set of figures and numbers within the field of business economics. Furthermore, the student must demonstrate skills in selecting the theories, concepts and methodologies of the subject for the purpose of analysing a specific set of figures and numbers within the field of business economics.

More specifically, the student must be capable of selecting, describing and using the theories, concepts and methodologies to:
- summarize and by means of relevant models analyse a large data material relevant to a business-economic set of problems
- explain and account for the model(s) used
- critically evaluate the preconditions and limitations of a given model
- interpret analyses of the problems with respect to which the data have been collected
- decide what conclusions to make with respect to the specific set of problems
- make decisions in a business organization.

Levine, Krehbiel, and Berenson: Business Statistics: A First Course 7th Edition, Pearson/Prentice Hall, 2016 ISBN ISBN-13: 978-0321979018

Articles about Building Multiple regression Models, Time Series Analysis,  Design and Analysis of Experiments and Observational studies and Introduction to Data Mining

The course consists of 60 lessons distributed on 15 sessions of 4 lessons each. During the course the students will be asked to do one voluntary home assignment for the completion of which they will have one week.

Scheduled classes:
60 lessons distributed on 15 sessions of 4 lessons each.
_______

Student workload is computed on the following basis:

60 lessons = 150 student hours
2 home assignments = 40 student hours
1 exam assignment = 30 student hours
1 oral exam = 30 student hours
Total = 250 student hours