STATISTICAL ANALYSIS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
MTH217	STATISTICAL ANALYSIS	6	3	3	5

GENERAL INFORMATION
Language of Instruction :	English
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assoc.Prof. SERKAN GÖNEN
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	To equip students with the competence to identify and formulate concrete statistical problems encountered in the real and service sectors and to develop appropriate solution proposals for addressing such problems.
Contents of the Course Unit:	Hypothesis Testing, Hypothesis Tests for Differences Between Two Populations and Population Proportions, One-Way Analysis of Variance (ANOVA), F-Test (ANOVA) and Its Applications, Parametric and Nonparametric Hypothesis Tests, Chi-Square Test, Linear Regression Analysis and Its Applications, Determination of the Correlation Coefficient, Index Numbers, and Applications Using SPSS / Minitab / MATLAB.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Upon successful completion of this course, students will be able to: I. Interpret, identify, and solve statistical problems. II. Formulate, define, and interpret hypotheses for problems involving uncertainty within established confidence limits. III. Solve statistical problems using software tools and evaluate the sensitivity of the obtained results. IV. Perform analysis of variance (ANOVA) and interpret the results.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Continuous Random Variables, Continuous Probability Distributions, and the Normal Distribution	Lecture
2	-	Applications of Continuous Random Variables, Continuous Probability Distributions, and the Normal Distribution	Lecture
3	-	Standard Normal Distribution	Lecture
4	-	Point and Interval Estimation	Lecture
5	-	Hypothesis Testing	Lecture
6	-	Hypothesis Testing: One-Sample Proportion and Two-Sample Proportion Tests	Lecture
7	-	Hypothesis Testing: One-Sample Mean and Two-Sample Mean Tests	Lecture
8	-	Hypothesis Testing and Applications	Lecture
9	-	Hypothesis Testing and Applications	Lecture
10	-	MID-TERM EXAM	-
11	-	Chi-Square Tests	Lecture
12	-	Chi-Square Methods and Applications	Lecture
13	-	Time Series Analysis	Lecture
14	-	One-Way Analysis of Variance (ANOVA) and Tukey’s HSD Test	Lecture
15	-	Analysis of Variance (ANOVA) and Related Application Examples	Lecture
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Montgomery, D. C., & Runger, G. C. (2019). Applied Statistics and Probability for Engineers (7th ed.). Wiley.
Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J. (2020). Statistics for Business and Economics (14th ed.). Cengage Learning.
Devore, J. L. (2015). Probability and Statistics for Engineering and the Sciences (9th ed.). Cengage Learning.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method
Mid-Term Exam	1	40		Classical Exam
Short Exam	1	10
Final Exam	1	50		Classical Exam
TOTAL	3	100

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to identify, analyze, design, model and solve complex engineering problems based on engineering, science and mathematics fundamentals				3

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to apply engineering design to produce solutions that meet specific needs, taking into account global, cultural, social, environmental and economic factors as well as public health, safety and well-being				3

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to communicate effectively with various stakeholders		1

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The ability to recognize ethical and professional responsibilities in engineering and make informed decisions considering the impact of engineering solutions in their global, economic, environmental and social contexts		1

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The ability to recognize ethical and professional responsibilities in engineering and make informed decisions considering the impact of engineering solutions in their global, economic, environmental and social contexts		1

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to acquire new knowledge and find ways to apply it when necessary, using appropriate learning strategies					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to work effectively in a team where its members lead together, create a collaborative and inclusive environment, set goals, plan tasks, and meet goals						5

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to design and conduct appropriate experiments, analyze and interpret data, and apply engineering principles to draw conclusions				3

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	3	42
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	1	15	15
Project Work	0	0	0
Seminar	1	3	3
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	1	2	2
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	2	2
Preparation for the Final Exam	0	0	0
Mid-Term Exam	1	2	2
Preparation for the Mid-Term Exam	0	0	0
Short Exam	1	15	15
Preparation for the Short Exam	0	0	0
TOTAL	34	0	123