TÜRKÇE
ENGLISH
Information
| Code | ENM248 |
| Name | Statistical Research Methods |
| Term | 2023-2024 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi EBRU YILMAZ |
| Course Instructor |
Dr. Öğr. Üyesi EBRU YILMAZ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to give basic statistical research methods used in some researches and studies.
Course Content
Statistical applications in engineering, Data collection, Measures of central tendency, Arithmetic mean, Effect of outliers, Median, Mode, Comparison of mean, median and mode, Geometric mean, Harmonic mean, Calculation of variance and standard deviation, Variation coefficient, Some probability distributions, Branch-leaf representation, Box plots, Some properties of sample mean and variance, Point estimation, Confidence intervals, Interval estimate on population mean with known variance, Interval estimate on population mean when variance is unknown, Interval estimate on the difference in means of two normally distributed populations, Interval estimate for measurement pairs, Hypothesis testing, Hypothesis testing on the mean of a normally distributed population with known variance, Hypothesis testing on the mean of a normally distributed population with unknown variance, Hypothesis testing on the difference in means of two normally distributed populations, Experimental design, Analysis of variance, Regression modeling.
Course Precondition
None
Resources
1. Akdeniz, F. (1996). Olasılık ve İstatistik, Genişletilmiş Baskı, Baki Kitabevi, Adana, 700 sayfa. 2. Montgomery, D. C., Runger, G. C., and Hubele, N. F. (2011). Engineering Statistics, Fifth Edition, e-book, John Wiley & Sons, Inc., USA, 522 pages.
Notes
1. Akdeniz, F. (1996). Olasılık ve İstatistik, Genişletilmiş Baskı, Baki Kitabevi, Adana, 700 sayfa. 2. Montgomery, D. C., Runger, G. C., and Hubele, N. F. (2011). Engineering Statistics, Fifth Edition, e-book, John Wiley & Sons, Inc., USA, 522 pages.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains data collection methods for a statistical application. |
| LO02 | Explains various concepts such as mean, median, mode, variance, standard deviation. |
| LO03 | Explains confidence interval concept. |
| LO04 | Calculates confidence intervals for statistical problems. |
| LO05 | Explains hypothesis test concept. |
| LO06 | Sets up hypothesis tests on statistical problems. |
| LO07 | Explains the importance of experimental design for statistical applications. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge of mathematics, science and related engineering disciplines; can use the theoretical and applied knowledge in these fields in complex engineering problems. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, define, formulate and solve complex Industrial Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods for this purpose. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Develops modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications, and has the ability to use information technologies effectively. | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Have the ability to design experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; have the ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Have the awareness of the necessity of lifelong learning; can follow the developments in science and technology and have the ability to constantly renew themselves. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acts in accordance with ethical principles, has knowledge about the standards used in engineering applications with the awareness of professional and ethical responsibility. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Gain knowledge of business practices such as project management, risk management and change management; become aware of entrepreneurship and innovation. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Gains knowledge about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering and has awareness of the legal consequences of engineering solutions. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | They can benefit from the power of effective communication in their professional life and have the ability to interpret developments correctly. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve integrated systems involving machine, time, information and money. | 2 |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve complex products, processes, businesses, systems by applying modern design methods, under realistic conditions and constraints such as cost, environment, sustainability, manufacturability, ethical, health, safety and political issues. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Statistical applications in engineering, Data collection | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Measures of central tendency, Arithmetic mean, Effect of outliers, Median, Mode, Comparison of mean, median and mode, Geometric mean, Harmonic mean | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 3 | Calculation of variance and standard deviation, Variation coefficient, Some probability distributions | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 4 | Branch-leaf representation, Box plots | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 5 | Some properties of sample mean and variance, Point estimation | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 6 | Confidence intervals, Interval estimate on population mean with known variance | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 7 | Confidence intervals, Interval estimate on population mean when variance is unknown | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 8 | Mid-Term Exam | The preparation for the mid-term exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Confidence intervals, Interval estimate on the difference in means of two normally distributed populations | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 10 | Confidence intervals, Interval estimate on the difference in means of two normally distributed populations, Interval estimate for measurement pairs | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 11 | Hypothesis testing, Hypothesis testing on the mean of a normally distributed population with known variance | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 12 | Hypothesis testing on the mean of a normally distributed population with unknown variance, Hypothesis testing on the difference in means of two normally distributed populations | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 13 | Experimental design | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Analysis of variance, Regression modeling | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | Program examples | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma |
| 16 | Term Exam | The preparation for the final exam | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exam | The preparation for the final exam | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||