11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


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Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Spring
Prerequisites
 MATH 211To attend the classes (To enrol for the course and get a grade other than NA or W)
Course Language
Course Type
Required
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • will be able to compute confidence intervals for the mean of one and two populations that are normally distributed when the population variance is known and population variance is unknown.
  • will be able to apply hypotesis tests for the mean of a population or between two populations that are normally distributed when the population variance is known and population variance is unknown.
  • will be able to identify the dependent and the independent variables of the given data and to conclude whether given variables are related or not
  • will be able to apply simple or multiple linear regression analysis
Course Description

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Sampling distributions: distributions of the sample mean and sample proportions Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 6.1-6.2 (244:264)
2 Sampling distributions: distributions of the sample variance. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 6.3-6.4 (265:283)
3 Confidence interval estimation for the mean of a normal distribution when the population variance is known and when it is unknown. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 7.1-7.3 (284:302)
4 Confidence interval estimation for population proportions and population variance. Sample size determination. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 7.4-7.8 (303:327)
5 Confidence interval estimation of the difference between two normal population means: dependent and independent samples. Confidence interval estimation of the difference between two population proportions. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 8.1-8.3 (328:345)
6 Concepts of hypothesis testing. Hypothesis test of the mean of a normal distribution when the population variance is known. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 9.1,9.2 (346:361)
7 Hypothesis test of the mean of a normal distribution when the population variance is unknown. Tests of the population proportion. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 9.3,9.4 (385:398)
8 Hypothesis test of the difference between two normal population means for dependent and independent samples. Tests of the difference between two population proportions. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 10.1-10.3 (385:402)
9 Linear models, Least squares regression technique. Linear Regression model. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 11.1,11.2 (417:426)
10 Least squares coefficient estimators. The explanatory power of a linear Regression equation, Analysis of variance. Coefficient of determination. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 11.3,11.4 (427:437)
11 Hypothesis test and confidence intervals for the population regression slope. Hypothesis test for the population slope using F distribution. Forecast and Prediction intervals. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 11.5,11.6 (438:451)
12 Correlation analysis with hypothesis test for correlation. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 11.7 (452:455)
13 The multiple regression model. Least squares estimation and sample multiple regression. The explanatory power of a multiple regression equation. Adjusted coefficient of determination and coefficient of multiple correlation. Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 12.1,12.2, 12.3 (473:492)
14 Confidence intervals and hypothesis tests for individual regression coefficients. Test on all coefficients of a multiple regression equation using F distribution Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 12.4,12.5 (493:510)
15 Review of the semester
16 Review of the semester
Course Notes/Textbooks Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne; 8/e, Prentice Hall . Chapters 6,7,8,9,10,11,12.
Suggested Readings/Materials Essentials of Contemporary Business statistics by T.A. Williams, D.J. Sweeney, D.R. Anderson,2007, Thomson

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
3
6
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
2
60
Final Exam
1
34
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
2
Field Work
Quizzes / Studio Critiques
3
5
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
15
Final Exams
1
20
    Total
143

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 To solve problems, to have analytical and holistic viewpoint and to develop strategic thinking as a principle in the field of business administration
2 To evaluate It is aimed to graduate students whom are able to critique what they have already learn in the field of management, adopting life long learning and continuously developing themselves
3 It is aimed to graduate students whom are able to transfer their academic knowledge to organizational level and capable of expressing themselves regarding organizational problems both oral and written
4 The students are required to understand the concepts and ideas of business in both national and multinational settings and practice cross disciplinary and comparative analysis
5 It is required to know and practice the quality and productivity principles of business life
6 Act and think with an innovative motive and able to apply the academic knowledge gain during new and unconventional occasions
7 Acquiring leadership qualifications and applying them successfully
8 Working efficiently and effectively, learning how to be a team member, taking responsibilities, being open minded, constructive, vulnerable to criticism and having self confidence
9 It is required to know the regional economic aspects and transfer the academic knowledge to real life with both national and international thinking
10 To know and apply the realities of business ethics and act according to social, scientific and ethical values under any circumstances such as data collection, evaluation, announcing and practicing
11 Able to use a foreign language as fluent as possible for both chasing the scientific publication and developing proper communication with colleagues from other countries, (“European Language Portfolio Global Scale”, Level B1)
12 Intermediate in both written and spoken of a second foreign language
13 Able to use computer programs and technology to an adequate level required by business practices.

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

 

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