Ders Planı

ISTANBUL AYDIN UNIVERSITY

CLASS 3

CLASS 4

Lesson plan / STATISTICS

Lesson Information

Course Credit	2.0
Course ECTS Credit	4.0
Teaching Language of Instruction	İngilizce
Level of Course	Associate's Degree, TYYÇ: Level 5, EQF-LLL: Level 5, QF-EHEA: Short Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	The Statistics course aims to teach students key statistical terms and concepts used in business contexts. The course focuses on helping students organize, analyze, and interpret data, enabling them to effectively apply statistical information in business decision-making.
Course Content	The course covers organizing data, measures of central tendency and dispersion (mean, median, mode, standard deviation), and basic concepts of probability. Additionally, students learn how to use statistical software like Excel and SPSS for analyzing data and supporting business decisions.

Learning Outcomes

Possesses fundamental, up-to-date, and practical knowledge related to their field.
Demonstrates awareness of occupational health and safety, environmental responsibility, and quality assurance processes.
Identifies and explains core management concepts, functions, and major managerial approaches
Explains key business processes in areas such as marketing, human resources, accounting, finance, management, and production.
Integrates knowledge from related disciplines such as economics, behavioral sciences, sociology, psychology, and law within the context of the field.
Follows current developments and practices in the profession and applies them effectively.
Effectively utilizes information technologies (such as software, programs, animation, etc.) relevant to the profession.
Demonstrates the ability to independently evaluate professional problems and issues using an analytical and critical approach and offer appropriate solutions.
Communicates ideas effectively and clearly through both written and oral means, in line with acquired knowledge and skills.
Takes responsibility as a team member in solving complex and unforeseen problems encountered in field-related practices.
Demonstrates awareness of career management and lifelong learning.
Acts in accordance with social, scientific, cultural, and ethical values during the collection, implementation, and dissemination of field-related data.
Follows field-related knowledge and communicates with colleagues by using a foreign language.

Weekly Course Subjects

1	Introduction to Statistics: What is statistics? Why is it important in business?
2	Types of Data & Scales of Measurement: Qualitative vs. quantitative data, nominal, ordinal, etc.
3	Organizing Data: Frequency tables, grouping, class intervals (Lab: Excel basic structure)
4	Charts & Graphs: Bar charts, pie charts, histograms, line graphs (Lab: Creating visuals in Excel)
5	Measures of Central Tendency: Mean, median, mode – concepts and calculations (Lab: Descriptive statistics in Excel)
6	Measures of Central Tendency: Mean, median, mode – concepts and calculations (Lab: Descriptive statistics in Excel)
7	Measures of Dispersion: Range, variance, standard deviation (Lab: Excel & optional SPSS basics)
8	Measures of Dispersion: Range, variance, standard deviation (Lab: Excel & optional SPSS basics)
9	Probability Basic concepts and rules
10	Applications of Probability in Business
11	Introduction to Hypothesis Testing: Concept of null/alternative hypothesis, significance level.
12	Introduction to t-Test and Applications
13	Introduction to Z-Test and Applications
14	Applied Statistics and Case Study

Resources

Sincich, Business Statistics by Examples