EXPORT-ORIENTED MANAGEMENT - IMC Fachhochschule Krems

Business Statistics and Mathematics I
Semester Hours per week Subject code ECTS
Fall 1 BISM 2
Learning Outcomes / Course Objectives
Business Statistics and Mathematics I is a first unit in statistics designed to enable
students to gain some proficiency in basic statistical terms and techniques typically
applied in the field of social sciences. Students will see how statistics is relevant to
modern life, and will learn how to tackle simple statistical problems. In addition to that,
students should acquire sufficient statistical sophistication to read and understand
reports with conclusions phrased in statistical terms.
Upon successful completion of the module, students will be able to:
� discuss the problems of sampling;
� understand the statistical jargon commonly used in the analysis, interpretation,
and presentation of numerical information;
� calculate descriptive statistics;
� utilize MS Excel to draw charts and graphs:
� apply some of the basic statistical techniques to problems they encounter in their
studies;
� assess information and statistical arguments commonly found in scientific reports,
in newspapers and on television.
Prerequisites / Level
None
Course Description
This course includes the nature of statistics, scales and sampling methods, organisation
and classification of data, graphic representation, descriptive statistics like measures of
central tendency and variability, percentiles, correlation and regression, statistical
inference, estimation, and hypothesis testing and the use of computers for statistical
calculations.
Literature
Lecturer‘s handouts
Brase, C. H., Brase, C. P. (2004); Understanding Basic Statistics; 3 rd Ed.; Boston, MA:
Houghton Mifflin or newer
Norusis, M. (2007); SPSS 16.0 Guide to Data Analysis; Upper Saddle River, NJ: Prentice
Hall or newer
Teaching Methods
This course will be held primarily as a lecture, which will cover theory and practical
applications of writing statistical analysis. The students are expected to prepare material
in advance of the lecture. Additionally, integrated in and accompanying the lecture and
short tutorials on how to carry out statistical analysis using MS Excel and SPSS will be
conducted. Supplementary summaries of the literature, examples and exercises will be
provided on-line. In order to ensure active engagement of the students, three
(individual/small group) assignments will be handed out during the course, solving the
exercises along with the performance in the exams will account for the final grade. Due
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