Business Administration (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) Explain the essential body of knowledge in the area of business administration, including evolution of the discipline, the state-of-the-art concepts, scientific methodology, theories and models
2) Employ the appropriate tools and analytical techniques to collect and analyze quantitative and qualitative data in the related areas, interpret results and propose solutions
3) Recognize the importance of technological development, especially in information technologies, and utilize them in business administration
4) Evaluate the body of knowledge in the dynamic business world and business functional areas to asses needs, manage and lead change by using critical and innovative thinking
5) Discover and create entrepreneurial opportunities and expertise to successfully establish and develop their own ventures
6) Fulfill their responsibility in teamwork and projects in businesses, and act as a leader
7) Communicate in written and oral English with people from diverse backgrounds, and have the English proficiency to follow and interpret the global dynamics in the areas of business administration
8) Recognize individual and multi-cultural diversity, and can emphatically interact with individuals from diverse cultural backgrounds in social and professional settings
9) Identify standards of personal, professional, social and business ethics, evaluate the ethical implications of various practices in the related areas, and be aware the importance of ethical behavior in adding value to the society
10) Recognize interrelationship among business and other disciplines, and relate knowledge from diverse areas to formulate novel solutions in the area of business administration

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Explain the essential body of knowledge in the area of business administration, including evolution of the discipline, the state-of-the-art concepts, scientific methodology, theories and models	4
2)	Employ the appropriate tools and analytical techniques to collect and analyze quantitative and qualitative data in the related areas, interpret results and propose solutions	5
3)	Recognize the importance of technological development, especially in information technologies, and utilize them in business administration	4
4)	Evaluate the body of knowledge in the dynamic business world and business functional areas to asses needs, manage and lead change by using critical and innovative thinking	3
5)	Discover and create entrepreneurial opportunities and expertise to successfully establish and develop their own ventures	2
6)	Fulfill their responsibility in teamwork and projects in businesses, and act as a leader	1
7)	Communicate in written and oral English with people from diverse backgrounds, and have the English proficiency to follow and interpret the global dynamics in the areas of business administration	1
8)	Recognize individual and multi-cultural diversity, and can emphatically interact with individuals from diverse cultural backgrounds in social and professional settings	1
9)	Identify standards of personal, professional, social and business ethics, evaluate the ethical implications of various practices in the related areas, and be aware the importance of ethical behavior in adding value to the society	2
10)	Recognize interrelationship among business and other disciplines, and relate knowledge from diverse areas to formulate novel solutions in the area of business administration	3

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