TBP138 Statistics

3 ECTS - 2-2 Duration (T+A)- 2. Semester- 3 National Credit

Information

Code TBP138
Name Statistics
Term 2024-2025 Academic Year
Semester 2. Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ZEYNEL CEBECİ
Course Instructor
1 2
Prof. Dr. GÖKHAN TAMER KAYAALP (A Group) (Ins. in Charge)


Course Goal / Objective

This course aims to teach to interprete results of a variety of statistical techniques from both descriptive and inferential statistics; to understand the fundamental concepts in statistics including sampling, experimentation, variability, distribution, association, causation, estimation, confidence, hypothesis testing, and significance; to critically review and analyze statistical arguments.

Course Content

Topics include both descriptive and inferential statistics: variables; graphical analysis of one or more qualitative and quantitative variables; numerical summaries to measure characteristics such as the center of a distribution, variation in a distribution, and symmetry or skewness in a distribution; random sampling; the normal distribution; the Central Limit Theorem; one and two sample hypothesis tests and confidence intervals involving means and proportions; one-way analysis of variance; the chi-square goodness-of-fit test; the chi-square test concerning independence in a two-way contingency table; Pearson correlation and testing for significance with simple linear regression.

Course Precondition

No prerequisites required.

Resources

Gamgam, H., Altunkaynak, B., Ünver, Ö. (2021). Temel İstatistik Yöntemler. ISBN 9789750269868

Notes

Internet/Online Learning Resources: https://www.tutorialspoint.com/statistics/index.htm https://www.w3schools.com/statistics/index.php


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the basic statistical concepts and terms
LO02 Plans and organizes the simple experiments and gains skills in organizing and summarizing empirical data
LO03 Understands the probability theory and gain s the skills in calculating simple probabilities
LO04 Proficiency in basic inferential statistical data analysi
LO05 Proficiency in basic analyses of two samples data
LO06 Proficiency in computing basic descriptive statistics on univariate data
LO07 Proficiency in understanding and interpreting the relationships between two variables
LO08 Learns one-way ANOVA analysis


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have sufficient theoretical knowledge in the fields of Mathematics, Basic Science and Basic Engineering and Agricultural Engineering. 5
PLO02 Beceriler - Bilişsel, Uygulamalı Recognizes the basic field of Field Crops and also cereals, grain legumes, industrial plants, meadow pasture forage crops and energy crops, has information on the problems and solutions in the physiology, cultivation, biotechnological studies, organic farming, breeding and new variety development of these plants.
PLO03 Yetkinlikler - Öğrenme Yetkinliği Makes field studies related to Field Crops, designs, establishes, implements and operates field planting and planting plan. Evaluates and interprets research results.
PLO04 Yetkinlikler - İletişim ve Sosyal Yetkinlik Finds the source of environmental, biological, technical, production system and economic problems that may adversely affect the achievement of the desired level of yield and quality in field crops agriculture, can develop solutions based on plants and research, and uses information technologies effectively.
PLO05 Beceriler - Bilişsel, Uygulamalı Gains experience in the field of Field Crops and Agricultural Engineering, seed production and problems of Field Crops, the development of quality seeds and product storage, and learns about the standards used in the profession. Can make discipline-specific teamwork for solving problems.
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Gains experience in the identification and protection of genetic resources and reproduction methods in field crops. Ability to work effectively in disciplinary and multi-disciplinary teams; acquire the ability to work individually.
PLO07 Yetkinlikler - İletişim ve Sosyal Yetkinlik Have the ability to acquire new information in the field of Field Crops, research, evaluate, write reports, do consultancy and expertise, prepare and apply design and production reports, make effective presentations, and take and give clear and understandable instructions. 4
PLO08 Yetkinlikler - Öğrenme Yetkinliği Field Crops irrigation, fertilization, detection of diseases and pests, mechanization, post-harvest storage etc. has the ability to learn lifelong, access information, follow developments in science and technology, and constantly renew itself on discipline-specific issues.
PLO09 Yetkinlikler - Alana Özgü Yetkinlik She/He acts in accordance with ethical principles in the fields of Field Crops and Agricultural Engineering, has professional and ethical responsibility and awareness in engineering applications. (
PLO10 Yetkinlikler - Alana Özgü Yetkinlik Knowledge of applications in business life such as project management, risk management and change management in applications related to Agricultural Engineering; awareness of entrepreneurship, innovation; has knowledge of sustainable development.
PLO11 Yetkinlikler - Alana Özgü Yetkinlik Information about the effects of Agricultural Engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; is aware of the legal consequences of engineering solutions.


Week Plan

Week Topic Preparation Methods
1 Introduction to statistics, Definition of terms and basic concepts, Statistical symbols, Data and Variables, Variable types Search for learning resources on Introduction to statistics on the Internet, and reading the texts about definition and goals of statistics. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
2 Population, Samples and Sampling Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Gösteri, Problem Çözme
3 Numerical and visual summarizing data, Frequency tables, Histograms, Charts, Type of graphics, Interpretation of distributions Download and setup R statisctical package from The Comprehensive R Archive Network, and search for R tutorials on the Internet and download some of them Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
4 Measures of central tendency, arithmetic mean, weighted mean, harmonic mean, geometric mean, truncated mean, mode, median, quartiles, quantiles and percentiles Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
5 Measures of variation/dispersion: Range, Variance, Standard deviation, Coefficient of variation, Skewness and Curtosis, Standard error of mean Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
6 Introduction to probability: Probability rules, experiment, sample space, simple event, event, complement of an event, union and intersections of events, probability of an event, conditional probabilities, independent events, mutually exclusive events and Venn diagrams Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
7 Discrete probability distributions: Binomial distributions, Poisson distributions Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
8 Mid-Term Exam Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav
9 Interval estimation of a population proportion and estimation of a population mean Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Gösteri
10 Determining sample size Rdetermining sample sizeeading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
11 Null and alternative hypothesis; type I and type II errors; Tests on population meansand proportions Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Gösteri, Bireysel Çalışma, Problem Çözme
12 Tests about differences between the means of two populations, independent samples and matched samples, Tests about the differences in proportion. Hypothesis tests about population variances and two population variance Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
13 Chi-square analysis: Goodness of fit test; test of independence using contingency tables Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
14 Analysis of bivariate data: Estimation of correlation ve linear regression, Scatter plots Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
15 Introduction to one-way ANOVA Reading the relevant topic chapters from printed and/or e-books. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
16 Term Exams Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
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 4 4
Final Exam 1 12 12
Total Workload (Hour) 86
Total Workload / 25 (h) 3,44
ECTS 3 ECTS

Update Time: 15.05.2024 12:57