Syllabus of 1st Semester, 2025
STATISTICS FOR ECONO
Course Title Course Code EC1500387 Section 002
MICS
Credit-Theory
Department Economics Level 1st year 3.0 - 3.0 - 0.0
- Practice
Class Hours &
Mon 09:00(75) 516-101, Wed 09:00(75) 516-101
Classroom
Office
Counsel Hours Monday 13:00 ~ 15:00
(Counsel room)
Lecturer 최기홍
Telephone 051-510-3378 E-mail ckh07th@pusan.ac.kr
ㆍ
Lesson
Style
Evaluation 1) Attendance 10% 2) Assignment 10% 3) Mid-Term Examination 30% 3) End-Term Examination 50%
Method * Students with disabilities can request an extension of the exam hour, and they can take exams by
getting writing assistance or by using a computer.
Competitors
and Knowledge
This course is to learn a basic knowledge of statistics used in economics, and to understand the basics
Objective of
econometrics by understanding and analyzing the meaning of data.
1. Understanding Statistical Theory
2. Understanding how to use Statistics through Data
3. Understanding of the application of statistics for Economics
Lecture
* Students with disabilities can negotiate with the Disabled Student's Academic Support Center regarding
Overview
course materials and assignments.
Course and Core competencies
Explore new
BNU Globalize ourvision Respect partners Accelerate innovation Transform the frame
knowledge
8Point Core
Competency O O O O
Core competencies according to subject matter
Department Core Competencies Training Method
Professional Economy Knowledge Competency
Competency to utilize basic concepts, principles, theorie Theoretical learning through lectures and prac
01
s, models, and analytical methods of economics to solve tical analysis using the latest economic data
economy problems or explain economy phenomena
Analytical Thinking Skills
Skills to apply economics principles and theories to logi Training in data-driven decision-making throug
02
cally substantiate, critically evaluate, and creatively imp h statistical reasoning
rove claims, hypotheses, and conclusions
Textbooks and References
Linked 1 주교재 David P. Doane, Lori E. Seward,『경영경제 통계학』-맥그로힐에듀케이션코리아(2022)
Direct (주교재)Applied Statistics in Business & Economics 7th Edition, David P. Doane, Lori E. Seward.
Week Lecture Plan
Week Lesson and Lab Contents Challenges and Other Notes
[Orientation and Education on Academic Misbehavior(e.g
1 Week . Cheating, Plagiarism) and Safety Education on Experi
ment and Practice] Introduction to Statistics
2 Week Data Collection
3 Week Describing Data Visually
4 Week Descriptive Statistics
5 Week Probability
6 Week Discrete Probability Distributions
7 Week Continuous Probability Distributions
8 Week Mid-Term Examination homework
9 Week Sampling Distributions and Estimation
10 Week One-Sample Hypothesis Test
11 Week Two-Sample Hypothesis Tests
12 Week Analysis of Variance
13 Week Simple Regression
14 Week Bivariate Regression
15 Week Understanding and Application of Time Series Data (En
(Appointed ergy Markets and Market Sentiment)
16 Week End-Term Examination homework
Syllabus of 1st Semester, 2025
STATISTICS FOR ECONO
Course Title Course Code EC1500387 Section 003
MICS
Credit-Theory
Department Economics Level 1st year 3.0 - 3.0 - 0.0
- Practice
Class Hours &
Mon 10:30(75) 516-101, Wed 10:30(75) 516-101
Classroom
Office
Counsel Hours Monday 13:00 ~ 15:00
(Counsel room)
Lecturer 최기홍
Telephone 051-510-3378 E-mail ckh07th@pusan.ac.kr
ㆍ
Lesson
Style
Evaluation 1) Attendance 10% 2) Assignment 10% 3) Mid-Term Examination 30% 3) End-Term Examination 50%
Method * Students with disabilities can request an extension of the exam hour, and they can take exams by
getting writing assistance or by using a computer.
Competitors
and Knowledge
This course is to learn a basic knowledge of statistics used in economics, and to understand the basics
Objective of
econometrics by understanding and analyzing the meaning of data.
1. Understanding Statistical Theory
2. Understanding how to use Statistics through Data
3. Understanding of the application of statistics for Economics
Lecture
* Students with disabilities can negotiate with the Disabled Student's Academic Support Center regarding
Overview
course materials and assignments.
Course and Core competencies
Explore new
BNU Globalize ourvision Respect partners Accelerate innovation Transform the frame
knowledge
8Point Core
Competency O O O O
Core competencies according to subject matter
Department Core Competencies Training Method
Professional Economy Knowledge Competency
Competency to utilize basic concepts, principles, theorie Theoretical learning through lectures and prac
01
s, models, and analytical methods of economics to solve tical analysis using the latest economic data
economy problems or explain economy phenomena
Analytical Thinking Skills
Skills to apply economics principles and theories to logi Training in data-driven decision-making throug
02
cally substantiate, critically evaluate, and creatively imp h statistical reasoning
rove claims, hypotheses, and conclusions
Textbooks and References
Linked 1 주교재 David P. Doane, Lori E. Seward,『경영경제 통계학』-맥그로힐에듀케이션코리아(2022)
Direct (주교재)Applied Statistics in Business & Economics 7th Edition, David P. Doane, Lori E. Seward.
Week Lecture Plan
Week Lesson and Lab Contents Challenges and Other Notes
[Orientation and Education on Academic Misbehavior(e.g
1 Week . Cheating, Plagiarism) and Safety Education on Experi
ment and Practice] Introduction to Statistics
2 Week Data Collection
3 Week Describing Data Visually
4 Week Descriptive Statistics
5 Week Probability
6 Week Discrete Probability Distributions
7 Week Continuous Probability Distributions
8 Week Mid-Term Examination homework
9 Week Sampling Distributions and Estimation
10 Week One-Sample Hypothesis Test
11 Week Two-Sample Hypothesis Tests
12 Week Analysis of Variance
13 Week Simple Regression
14 Week Bivariate Regression
15 Week Understanding and Application of Time Series Data (En
(Appointed ergy Markets and Market Sentiment)
16 Week End-Term Examination homework
