ANTALYA BİLİM UNIVERSITY
Course Information Package

ECON 2115 - Statistics I

Basic Information

Course Code:
ECON 2115
Course Name:
Statistics I
Language of Instruction:
English
Course Type:
Class
Course Level:
Bachelor
ECTS:
4.00
Instructor:
Dr. Öğr. Üyesi FIRAT YILMAZ

Course Objectives

To teach students the basic concepts of data analysis and probability theory, providing the competence to describe, summarize, and interpret economic data at a basic level.

Course Content

Descriptive statistics, probability rules, discrete and continuous probability distributions (Binomial, Poisson, Normal), sampling, and data visualization.

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2018). Statistical Techniques in Business and Economics. McGraw-Hill.

Learning Outcomes

Code Description
LO1 Summarizes data using measures of central tendency and dispersion.
LO2 Applies basic probability rules to economic scenarios.
LO3 Identifies appropriate probability distributions for different data types.
LO4 Performs normal distribution and standardization operations.
LO5 Visualizes and interprets data using appropriate graphical techniques.

Weekly Course Content

Week Content
1 What is Statistics? Types of Data
2 Data Visualization (Graphs)
3 Measures of Central Tendency
4 Measures of Dispersion
5 Probability Concepts and Rules
6 Bayes' Theorem and Applications
7 Discrete Probability Distributions I
8 Midterm Exam
9 Discrete Probability Distributions II
10 Continuous Probability Distributions (Normal)
11 Standard Normal Distribution (Z Table)
12 Introduction to Sampling Methods
13 Sampling Distributions
14 General Review and Applications
15 Review

Workload Calculation

Activity Count Duration (Hours) Total
Attendance 15 3.00 45.00
Practice 14 1.00 14.00
Laboratory 14 1.00 14.00
Pre-Class Individual Study 14 2.00 28.00
Midterm Exam/Preparation 1 20.00 20.00
Final Exam/Preparation 1 25.00 25.00
Total Workload (Hours) 146
ECTS Credit (Workload / 25) 5

Assessment

# Assessment Type Contribution (%)
1 Midterm Exam %40
2 Final Exam %60
TOTAL %100

PO - LO Matrix

PO \ LO
LO1
LO2
LO3
LO4
LO5
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
PO-11
PO-12
1
Low Contribution
2
Medium Contribution
3
High Contribution

Academic Integrity and Artificial Intelligence

AI is a tool for calculations, but step-by-step explanations must be the student's own.

Sustainable Development Goals

SDG 4
SDG 9