Department of Business Administration

Statistics I

Department of Business Administration

Course outline

(1)    General Information:

School

Economics & Social Sciences

Department

Business Administration

Level of Studies

Undergraduate

Course code

203

Semester

2ο

Course title

Statistics

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

https://eclass.uth.gr/courses/SE_BA_U173/

(2)    Learning outcomes:

Learning outcomes


General Skills


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

(3)    COURSE CONTENT

  • Descriptive statistics (parameters of central tendency and location, variability, clustered data),
  • Probabilities (individual, compound, conditional),
  • Total probability and Bayes theorems,
  • Discrete and continuous random variables (Binocular, Poisson, Normal, etc.),
  • Sampling and sampling distributions (central limit theorem, student-t distributions, χ2, F),2, F),
  • Confidence intervals and hypothesis tests of population parameters (mean, percentage, variance) for a population.
  • Comparing two populations, the method of analysis of variance, simple linear regression,
  • simple linear regression,
  • Introduction to Multiple Regression.

 

 

 

 

(4)    TEACHING AND LEARNING METHODS - EVALUATION

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


Activity

Workload

Lectures

13 weeks * 3 hours = 39 hours

Home Study:

Continuous study of teaching notes and suggested bibliography is required (estimated 4 hours study requirement for each teaching unit), 13 weeks * 4 hours = 52 hours.εκτιμάται η απαίτηση 4ωρών μελέτης για κάθε διδακτική ενότητα), 13 εβδομάδες * 4 ώρες = 52 ώρες.

Submission of research paper - Problem Solving

After completing each module in theory, individual tasks are given to solve specific problems that facilitate a better understanding of the course (13 weeks * 2 hours = 26 hours).

Use of Statistical Software

Emphasis will be placed on interpreting the calculations of the above problems using statistical software (13 weeks * 2 hours = 26 hours).

Final Examination

Written exam (3 hours).

Course Total

146 hours

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.

(5)    BIBLIOGRAPHY

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    Ζαφειρόπουλος Κώστας, Εισαγωγή στη στατιστική και τις πιθανότητες, Εκδόσεις: Κριτική, 2017.

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.

en_GBEnglish (UK)