ENM248 Statistical Research Methods

4 ECTS - 3-0 Duration (T+A)- 4. Semester- 3 National Credit

Information

Code ENM248
Name Statistical Research Methods
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 Goal

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