FACULTY OF BUSINESS

Department of Business Administration

MATH 280 | Course Introduction and Application Information

Course Name
Introduction to Probability and Statistics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 280
Fall
2
2
3
6

Prerequisites
  MATH 102 To get a grade of at least FD
Course Language
English
Course Type
Required
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives To provide the fundamental concepts of Probability and Statistics with applications of business and economic problems. The course illustrates many examples of common statistical methods for students who would like to focus on information intensive fields.
Learning Outcomes The students who succeeded in this course;
  • will be able to create graphs for categorical and numerical data.
  • will be able to examine measures of central tendency, variation, and shape, and use population summary measures
  • will be able to calculate the confidence interval for the average of one and two main masses with normal distribution in cases where the main mass variant is known and unknown.
  • will be able to use confidence intervals.
  • will be able to apply hypothesis test for one and two populations that are normally distributed.
Course Description Probability, Discrete and Continuous random variables with their probability distributions and expectations, Sampling distributions, Confidence interval estimation: one and two populations, Hypothesis Tests of one and two populations, Simple regression analysis

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Describing data: graphical Newbold P., Carlson W.L., Thorne B., “Describing data: graphical”, chap 1 Statistics for Business and Economics, 9th edition (Pearson, 2019), 2-38.
2 Describing data: graphical Newbold P., Carlson W.L., Thorne B., “Describing data: graphical”, chap 1, Statistics for Business and Economics, 9th edition (Pearson, 2019), 2-38.
3 Describing data: numerical Newbold P., Carlson W.L., Thorne B., “Describing data: numerical”, chap 2, Statistics for Business and Economics, 9th edition (Pearson, 2019), 39-72.
4 Describing data: numerical Newbold P., Carlson W.L., Thorne B., “Describing data: numerical”, chap 2, Statistics for Business and Economics, 9th edition (Pearson, 2019), 39-72.
5 Probability Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3, Statistics for Business and Economics, 9th edition (Pearson, 2019), 73-125.
6 Probability Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3, in Statistics for Business and Economics, 9th edition (Pearson, 2019), 73-125.
7 Discrete random variables Newbold P., Carlson W.L., Thorne B., “Discrete random variables and Probability Distributions”, chap 4, Statistics for Business and Economics, 9th edition (Pearson, 2019), 126-176.
8 Continuous random variables Newbold P., Carlson W.L., Thorne B., “Continuous random variables and Probability Distributions”, chap 5, Statistics for Business and Economics, 9th edition (Pearson, 2019), 177-223.
9 Midterm
10 Sampling and sampling distributions Newbold P., Carlson W.L., Thorne B., “Sampling and sampling distributions”, chap 6, Statistics for Business and Economics, 9th edition (Pearson, 2019), 224-263.
11 Estimation: single population Newbold P., Carlson W.L., Thorne B., “Estimation: single population”, chap 7, Statistics for Business and Economics, 9th edition (Pearson, 2019), 224-263.
12 Estimation: additional topics Newbold P., Carlson W.L., Thorne B., “Estimation: additional topics”, chap 8, Statistics for Business and Economics, 9th edition (Pearson, 2019), 308-325.
13 Hypothesis testing: single population Newbold P., Carlson W.L., Thorne B., “Describing data: graphical”, chap 9, Statistics for Business and Economics, 9th edition (Pearson, 2019), 326-364.
14 Hypothesis testing: additional topics Newbold P., Carlson W.L., Thorne B., “Hypothesis testing: additional topics”, chap 10, Statistics for Business and Economics, 9th edition (Pearson, 2019), 365-396.
15 Semester review
16 Final exam

 

Course Notes/Textbooks

Newbold P., Carlson W.L., Thorne B., Statistics for Business and Economics, 9th edition (Pearson, 2019), 

ISBN-13:978-1292315034

 
 
Suggested Readings/Materials

Lind D., Marchal S., Statistical Techniques in Business & Economics, 17th edition (McGraw-Hill, 2017),

ISBN-13: 978-1259666360

 
 

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
4
20
Portfolio
Homework / Assignments
1
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
20
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
6
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
4
3
12
Portfolio
0
Homework / Assignments
1
8
8
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
24
24
Final Exam
1
30
30
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to solve problems with an analytical and holistic viewpoint in the field of business administration.

2

To be able to present the findings and solutions to the business problems in written and oral formats.

3

To be able to interpret the application of business and economic concepts, and philosophies at the national and international levels.

4

To be able to use innovative and creative approach for real-life business situations.

5

To be able to demonstrate leadership skills in different business situations.

6

To be able to interpret the reflections of new technologies and softwares to business dynamics.   

7

To be able to integrate knowledge gained in the five areas of business administration (marketing, production, management, accounting, and finance) through a strategic perspective.

8

To be able to act in accordance with the scientific and ethical values in studies related to business administration.

X
9

To be able to work efficiently and effectively as a team member.

X
10

To be able to have an ethical perspective and social responsiveness when making and evaluating business decisions.

11

To be able to collect data in the area of business administration and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).

12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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