Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Lec. Çağdaş GÖRÜCÜ

Lec. Murat ARTUÇ

Lec. Süleyman DAL

Res. Assist. Ceren ŞAKAR

Res. Assist. Levent ODABAŞI

Statistics in Social Sciences

Course Code	: ISL215
Course Type	: Required
Couse Group	: First Cycle (Bachelor's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 5

Objectives of the Course

To instruct cost accounting concepts and techniques and use this knowledge in the decision-making process.Teach how to recognize, analyze, summarize, interpret, predict and extract inferences from quantitative data using scientific methods in social science.

Course Content

Basic probability, discrete random variables and probability distributions, binomial probability distribution Poisson probability distribution, continuous random variables and probability distributions, exponential probability distributions, normal probability distribution, sampling and sampling distributions, point estimation, interval estimation, hypothesis tests, regression and correlation analysis, indexes

Name of Lecturer(s)

Assoc. Prof. Engin ÇAKIR

Learning Outcomes

1.	Defines basic statistical concepts (mean, variance, standard deviation).
2.	Classifies data and presents it with tables and graphs.
3.	Applies descriptive statistical methods.
4.	Performs probability calculations.
5.	Explains the basic logic of hypothesis testing.
6.	Conducts appropriate statistical analyses for business problems.

Recommended or Required Reading

1.	Büyüköztürk, Ş., Çokluk, Ö., & Köklü, N. (2019). Sosyal Bilimler için İstatistik. Pegem Akademi
2.	Newbold, P. (2023). İşletme ve İktisat için İstatistik. Literatür Yayıncılık
3.	Bowerman, B. L., O’Connell, R. T., Murphree, E. S., & Orris, J. B. (2018). İşletme İstatistiğinin Temelleri. Nobel Akademik Yayıncılık

Weekly Detailed Course Contents

Week 1 - Theoretical

Basic Concepts Related to Statistics

Week 2 - Theoretical

Series and Graphs

Week 3 - Theoretical

Measures of Central Tendency

Week 4 - Theoretical

Measures of Dispersion

Week 5 - Theoretical

Probability Theory

Week 6 - Theoretical

Conditional Probability

Week 7 - Theoretical

Discrete Probability Distributions

Week 8 - Theoretical

Continuous Probability Distributions-1

Week 9 - Theoretical

Continuous Probability Distributions-2

Week 10 - Theoretical

Sampling Distribution

Week 11 - Theoretical

Introduction to Probability

Week 12 - Theoretical

Hypothesis Testing

Week 13 - Theoretical

Regression Analysis and Correlation Analysis

Week 14 - Theoretical

Indexes

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	2	3	70
Midterm Examination	1	20	1	21
Final Examination	1	30	1	31
TOTAL WORKLOAD (hours)				122

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5
OÇ-1			3
OÇ-2			3
OÇ-3			3
OÇ-4			3
OÇ-5			3
OÇ-6			3