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Information
| Code | TBP138 |
| Name | Statistics |
| 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 Goal
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 | ||