Course Descriptions

Basic Business Statistics


Teachers: Beneki ChristinaNew Window
Course Code: HDT102
Course Type: Compulsory
Course Level: Undergraduate
Course Language: English
Delivery Method: Lectures
Semester: 1st
ECTS: 5
Teaching Hours: 3
Objectives - Learning Results:

Upon successful completion of the course, students will be able to:

  • understand the role and applications of statistics, particularly in problems of economic and business management
  • understand the basic concepts of statistics and the physical interpretation of statistical quantities in descriptive and inferential statistics
  • apply appropriate statistical methodology, understand and interpret statistical conclusions
  • understand the concept of a random variable and its probability distribution
  • understand and use the basic statistical principles governing the estimation of characteristics of a population based on a random sample
  • draw conclusions about a statistical population based on confidence intervals using data from a random sample
  • perform statistical hypothesis tests on the mean of a population, the variance of a normal population, the binomial percentage

use simple linear regression as a statistical modelling technique to investigate the correlation between a dependent variable and an independent variable and interpret the results of the regression -present the technical results in a clear and understandable way 

Recommended Bibliography:

Berenson, Mark, Levine David, Szabat Kathryn, Stephan David (2019). basic business statistics: global edition, 14th edition, Pearson 
Doane David - Seward Lori (2021). applied statistics in business and economics, 7th edition, Mc Graw Hill. 
Agresti Alan (2020) Statistics: the art and science of learning from data, 5th edition, Pearson.  

Teaching and Learning Methods:

In the classroom face to face. 

Use of Information and Communication Technologies:

Use of ICT in Teaching: Use of presentation software (power point) in face-to-face lectures, use of asynchronous teleeducation (uploading material to the open eclass of the course), use of data analysis software

Use of ICT in communication: use of the open eclass platform (posting announcements, replying to students' messages, etc.) and e-mail. 

Grading and Evaluation Methods:

Students will be assessed through formative and summative assessment.

Formative assessment will be carried out through study and self-assessment questions given to students at the end of each lecture. The formative assessment will not be graded. The summative assessment will have 2 forms and will be graded.

1. Individual Work 

2. Written final examination, graded difficulty: Students are required to answer a series of questions covering all the material taught in the course. These may include: Multiple choice questions/short answer questions/problem/exercise questions.

The individual assessment marks are indicated next to each topic. 

Interim evaluations (progress) may be carried out. Their details (examination format, date, time, subject matter, weighting, etc.) are announced in good time. Interim assessments are not exempt from the content of the final examination. 

The lecture calendar, the weighting coefficients, the evaluation criteria are made known to the students at the beginning of the course. The lecturer has the right to adjust the pace of teaching to accommodate the progress of the class. Students are responsible for monitoring all adjustments to the lecture calendar.


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