Course outline

School

Economics & Social Sciences

Department

Business Administration

Level of Studies

Undergraduate

Course code

403

Semester

4ο

Course title

Statistics II

INDEPENDENT TEACHING ACTIVITIES

Weekly teaching hours
-

ECTS

4

5

Type of course

Prerequisite course

Language of instruction and exams

Greek

The course is offered to Erasmus students

Course URL

Learning outcomes

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• -
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• Understanding instructions regarding the application of statistical methods, as well as concepts and procedures using a variety of exercises and examples.
• Description of data and calculation of indicators that will briefly describe complex phenomena.
• Drawing generalized conclusions about populations using samples from those populations.
• Developing Statistical Thinking to Make Better Business Decisions.
• Collection and analysis of business data with the aim of drawing correct conclusions that lead to improved decisions and consequently to the more efficient operation of a process of a department or even the entire company.
• Gain fluency in data management through spreadsheets and statistical software for decision making.
• Presentation of statistical topics in the context of fields such as accounting, finance, management and marketing and explanation and application of the specific methods in business activities.
• Emphasis on interpretation and analysis of statistical results beyond mathematical calculations.
• Hands-on practice in understanding the applications of statistics to business problems.
• Use of business statistics scripts.

General Skills

• Search, analysis and synthesis of data and information, using the necessary technologies
• Adaptation to new situations
• Decision making
• Autonomous work
• Teamwork

• Two-sample hypothesis tests,
• Analysing variance,
• Control Criterion x2 and non-Parametric Control Criteria,
• Detailed presentation of Simple Linear Regression,
• Introduction to Multiple Regression,
• Construction of a multiple regression model,
• Time series forecasting.

TEACHING METHOD

face-to-face

USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES

Use of information and communication technologies in teaching, laboratory education, communication with students. Electronic communication with students, learning-process support through the “e-class” online platform. eclass.

TEACHING ORGANIZATION

STUDENT EVALUATION

The Final grade of the course results from 70% of the final written exams, while the remaining 30% results from the individual assignments.

Greek

o    Levine David, Szabat Kathryn, Stephan David, Στατιστική: Βασικές Αρχές με Έμφαση στην Οικονομία και τις Επιχειρήσεις, Εκδόσεις: BrokenHill, 2018.

o    Φιλιππάκης Μ., Στατιστικές Μέθοδοι και Ανάλυση Παλινδρόμησης για τις νέες τεχνολογίες, Εκδόσεις: Τσότρας, 2016.

o    Douglas Downing, Jeffrey Clark, Στατιστική των Επιχειρήσεων, Εκδόσεις: Κλειδάριθμος, 2010.

o    Spiegel Murray R., Stephens Larry J., Στατιστική, Εκδόσεις: Τζιόλα, 2016.

o    Berenson M. L., Levine D. M., Szabat K. A., Βασικές Αρχές Στατιστικής για Επιχειρήσεις: Έννοιες & Εφαρμογές, Εκδόσεις: BrokenHill, 2018.

English

o    Hogg,R.V. and Tanis,E.A., Probability and Statistical Inference, Prentice Hall, 2000.

o    Aczel, A. D. and Sounderpandian, J., Complete Business Statistics, McGraw – Hill & Irwin, 2002.

o    Doane, D., Seward, L., Applied Statistics in Business & Economics, McGraw-Hill, 2013.

o    Jaggia, S., Kelly, A., Business Statistics: Communicating with numbers, McGraw-Hill, 2013.

o    Lind, D., Marshal, W., Wathen, S., Basic Statistics for Business and Economics, McGraw-Hill, 2013.