Subject

Business Statistics

Course Title

Business Statistics
Business statistics

Code

F23L1S023

Study Programme

Application of Information Technologies, Statistics and Data Analytics

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

2 / Summer

Number of ECTS credits

Teacher

Alexandra Popovska Mitrović, Metodija Janceski, Natasha Ilievska, Verica Bakeva, Vesna Dimitrievska Ristovska

Prerequisites for enrolling in the course

—

10.

Objectives of the course programme (competences)

Introduction to basic statistical methods and techniques for presenting, analyzing, and investigating data.

11.

Course content

Introduction. Types of data, data collection, sample, frequency distribution of data, graphical methods for displaying the frequency distribution, exploratory data analysis. Measures of central tendency and dispersion of data. Modeling uncertainty. Basic elements of probability, conditional probability, independence, Bayes' theorem. Random variables, probability distributions, expectation and dispersion. Discrete distributions: binomial distribution, Poisson distribution, geometric distribution and applications. Continuous distributions: uniform, exponential, and normal distributions, basic properties, standardization and using tables to determine probabilities of events. Population and sample. Distribution of sample statistics. Parameter estimation: confidence intervals for the population mean, population variance, and proportions. Hypothesis testing. Correlation and linear regression. Nonparametric tests for matching distributions and independence of categorical characteristics.

12.

Learning methods

Lectures using presentations, interactive lectures, exercises (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defense of a project assignment and a seminar paper.

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

45 + 45 + 30 + 10 + 50 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	45 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	45 hours

16.

Other forms of activities

16.1.	Project assignments	10 hours
16.2.	Independent assignments	30 hours
16.3.	Home study	50 hours

17.

Assessment method

17.1.	Tests	0 points
17.2.	Seminar paper / project (presentation: written and oral)	10 points
17.3.	Activities and learning	0 points
17.4.	Final exam	90 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirement for obtaining a signature and taking the final exam

Activities 15.2 and 16.1 have been completed.

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature 1. Muhammad Rozi Malim & Faridah Abdul Halim \| Business Statistics \| Oxford University Press \| 2011
22.2.	Additional literature No. Author Title Publisher Year