International Trade (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

BBA182

Course Name:

Applied Statistics

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	8

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Assoc. Prof. OYA KENT BIRIK

Course Lecturer(s):

Dr.Öğr.Üyesi SEDA KEKLİK

Course Assistants:

Course Objective and Content

Course Objectives:

The purpose of this course is to equip students with an understanding of descriptive statistics and analytical thinking. Discussions will range from key concepts to useful data resources. Among topics covered are: Data collection, summarizing and presenting techniques, probability theory, discrete and continuous random variables, discrete probability distribution, continuous probability distribution, sampling distributions, inferential statistics, confidence intervals, hypothesis testing and simple correlation.

Course Content:

• Population, sample, decision-making in statistics, uncertainty
• Understand the concept of uncertainty and Probability Theory
• Understand the concept of discrete random variables and discrete probability distributions
• Sampling Distributions
• Building confidence intervals
• Understand the concept of Hypothesis testing
• Calculate sample covariance and correlation coefficients and interpret their meanings

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) • Identify and analyze types of data in business situations
2 - Skills
Cognitive - Practical
1) • Identify and apply probability concepts to business related problems
3 - Competences
Communication and Social Competence
1) • Draw statistical inference about the population, based on sample information in business related situations
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	• Population, sample, decision-making in statistics, uncertainty	none
2)	• Mean, median, mode, range	• Review the Syllabus Watch the video: Introduction to Statistics
3)	• Variance, standard deviation, histograms, bar and pie-charts	• Watch the videos: ÖF İstatistik Dersi Ders 1 Ünite 2
4)	• Random experiment, outcomes, events, Probability Theory, permutations, combinations	Videoları izleyin
5)	• Probability rules, bivariate probability, Bayes' theorem	Watch videos:
6)	• Discrete random variables • Probability distributions for discrete variables • Expected value • Joint Distribution • Binomial Distribution • Poisson distribution • Hyper Geometrical Distribution	Watch the videos
7)	• Continuous random variable • Probability Distribution • Expected value • Joint Distribution • Normal Distribution • Empirical Rule	watch the videos
8)	• sampling of a population • sampling distribution of the sample mean • sampling distribution of the sample variance • sampling distribution of the sample proportion	Watch the videos
9)	• Confidence interval when Population variance is known • Confidence interval when Population variance is unknown • Student's t distribution • Confidence interval for a Population proportion	Watch the videos
10)	• Confidence intervals for population mean population known/ population unknown/proportion/variance/difference in means
11)	• Null hypothesis, alternative/research hypothesis, type-1 error, type-2 errors, power of the test • Hypothesis testing of the population mean when the population variance is known • Hypothesis testing of the population mean when the population variance is unknown
12)	• Hypothesis test of the population proportion • Hypothesis test of the population variance • Hypothesis test of the difference of two population mean • Hypothesis test of the difference between two population proportions
13)	• Correlation • Hypothesis testing
14)	• Review of the material covered during the entire semester
15)	final sınavı

Sources

Course Notes / Textbooks:	Statistics for Business and Economics, Eighth Edition Authors: Paul Newbold, William L. Carlson, Betty M. Thorne
References:	İşletme ve İktisat için İstatistik, Paul Newbold, William L.Carlson, Betty M. Thorne (çeviri: Ümit Şenesen), 8. Baskı Literatür Yayıncılık, 14.12. 2009 ISBN: 9758431557

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3
Program Outcomes
1) To have theoretical and practical knowledge at the basic level supported by textbooks, application tools and other resources with current knowledge in the field based on the qualifications gained at the secondary level.
2) - To gain the ability to use the theoretical and practical knowledge at the basic level at an advanced level or at the same level in the same field. - To be able to interpret and evaluate the data by using the basic knowledge and skills acquired in the field, to identify and analyze the problems, to develop solutions based on evidence.
3) - To be able to convey his / her thoughts on basic knowledge and skills at the level of written and verbal communication. - To share his / her thoughts and solutions to the problems related to his / her field with experts and non-experts. - To be able to follow information in the field and communicate with colleagues by using a foreign language at least at a level of European Language Portfolio A2 General Level. - To be able to use information and communication technologies together with computer software at the basic level of European Computer Driving License required by the field.
4) - To be able to evaluate the basic knowledge and skills acquired in the field with a critical approach, to determine and meet the learning needs. - To be able to direct his / her education to an advanced level of education in the same field or to a profession at the same level. - Not to have gained awareness of lifelong learning.
5) - To have social, scientific, cultural and ethical values in the stages of collecting, applying and announcing the data related to the field. - To have sufficient awareness of the universality of social rights, social justice, quality and cultural values, environmental protection, occupational health and safety.
6) - To be able to conduct a basic level study independently. - To be able to take responsibility as a team member to solve unforeseen complex problems encountered in the applications related to the field. - To be able to carry out activities for the development of employees working under their responsibility within the framework of a project.
7) - To have advanced theoretical and practical knowledge supported by textbooks containing current information in the field, application tools and other resources.
8) To be able to use the advanced theoretical and practical knowledge acquired in the field. - Interpret and evaluate data using the advanced knowledge and skills acquired in the field, identify problems, analyze, develop solutions based on research and evidence.
9) - To be able to inform the relevant persons and institutions about the related subjects; transfer ideas and solutions to problems in written and orally. - To share his / her thoughts and solutions to the problems related to the field with the experts and non-experts by supporting them with quantitative and qualitative data. -To be able to organize and implement projects and activities for the social environment in which he / she lives with a sense of social responsibility. - To follow the information in his / her field and to communicate with his / her colleagues by using a foreign language at least at the European Language Portfolio B1 General Level. - To be able to use information and communication technologies together with computer software at the Advanced Level of European Computer Driving License required by the field. - To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field. - To have sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety.
10) - To be able to critically evaluate the advanced knowledge and skills acquired in the field, - Identify learning needs and direct learning. - To develop positive attitudes about lifelong learning.
11) To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field. - To have sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety
12) - To be able to conduct an advanced study independently. - To be able to take responsibility as an individual and as a team member to solve unforeseen complex problems encountered in the applications related to the field. - To be able to plan and manage activities for the development of employees working under their responsibility.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To have theoretical and practical knowledge at the basic level supported by textbooks, application tools and other resources with current knowledge in the field based on the qualifications gained at the secondary level.
2)	- To gain the ability to use the theoretical and practical knowledge at the basic level at an advanced level or at the same level in the same field. - To be able to interpret and evaluate the data by using the basic knowledge and skills acquired in the field, to identify and analyze the problems, to develop solutions based on evidence.
3)	- To be able to convey his / her thoughts on basic knowledge and skills at the level of written and verbal communication. - To share his / her thoughts and solutions to the problems related to his / her field with experts and non-experts. - To be able to follow information in the field and communicate with colleagues by using a foreign language at least at a level of European Language Portfolio A2 General Level. - To be able to use information and communication technologies together with computer software at the basic level of European Computer Driving License required by the field.
4)	- To be able to evaluate the basic knowledge and skills acquired in the field with a critical approach, to determine and meet the learning needs. - To be able to direct his / her education to an advanced level of education in the same field or to a profession at the same level. - Not to have gained awareness of lifelong learning.
5)	- To have social, scientific, cultural and ethical values in the stages of collecting, applying and announcing the data related to the field. - To have sufficient awareness of the universality of social rights, social justice, quality and cultural values, environmental protection, occupational health and safety.
6)	- To be able to conduct a basic level study independently. - To be able to take responsibility as a team member to solve unforeseen complex problems encountered in the applications related to the field. - To be able to carry out activities for the development of employees working under their responsibility within the framework of a project.
7)	- To have advanced theoretical and practical knowledge supported by textbooks containing current information in the field, application tools and other resources.
8)	To be able to use the advanced theoretical and practical knowledge acquired in the field. - Interpret and evaluate data using the advanced knowledge and skills acquired in the field, identify problems, analyze, develop solutions based on research and evidence.
9)	- To be able to inform the relevant persons and institutions about the related subjects; transfer ideas and solutions to problems in written and orally. - To share his / her thoughts and solutions to the problems related to the field with the experts and non-experts by supporting them with quantitative and qualitative data. -To be able to organize and implement projects and activities for the social environment in which he / she lives with a sense of social responsibility. - To follow the information in his / her field and to communicate with his / her colleagues by using a foreign language at least at the European Language Portfolio B1 General Level. - To be able to use information and communication technologies together with computer software at the Advanced Level of European Computer Driving License required by the field. - To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field. - To have sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety.
10)	- To be able to critically evaluate the advanced knowledge and skills acquired in the field, - Identify learning needs and direct learning. - To develop positive attitudes about lifelong learning.
11)	To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field. - To have sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety
12)	- To be able to conduct an advanced study independently. - To be able to take responsibility as an individual and as a team member to solve unforeseen complex problems encountered in the applications related to the field. - To be able to plan and manage activities for the development of employees working under their responsibility.

Learning Activity and Teaching Methods

Field Study
Peer Review
Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Group study and homework
Lab
Reading
Homework
Problem Solving
Q&A / Discussion
Case Study

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Group project
Reporting
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	1	% 20
Midterms	1	% 30
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Workload
Course Hours	15	45
Application	15	45
Homework Assignments	15	30
Quizzes	15	30
Midterms	15	39
Final	15	37
Total Workload		226