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Information
| Code | BBT138 |
| Name | Statistics |
| Term | 2022-2023 Academic Year |
| Semester | 2. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÖKHAN TAMER KAYAALP |
| Course Instructor |
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
Resources
Kayaalp, G.T. and Çankaya, S. 2018. Statistics Çukurova University Faculty of Agriculture Textbooks No :A-84. Adana
Notes
İkiz, F., Püskülcü, H. and Eren, Ş. 21996. Introduction to Statistics. Barış Publication İzmir.
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 analysis |
| LO05 | Gains skills in basic analyses of two samples data |
| LO06 | Gains skills in computing basic descriptive statistics on univariate data |
| LO07 | Gains skills 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 | Has discipline-specific subject’s adequate knowledge of mathematics, science, and Agricultural Engineering (Soil Science and Plant Nutrition); use theoretical and applied knowledge in these fields of the complex engineering problems. | 4 |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | Define, formulate and solve complex problems in the field of Soil Science and Plant Nutrition, select and apply appropriate analysis and modeling methods for this purpose. | 4 |
| PLO03 | Yetkinlikler - Öğrenme Yetkinliği | Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions, and apply modern design methods for this purpose in Soil Science and Plant Nutrition discipline. | |
| PLO04 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Select and use modern tools necessary for the analysis and solution of complex problems and use information technologies effectively in the field of Soil Science and Plant Nutrition application. | 2 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Design, conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research issues encountered in the field of Soil Science and Plant Nutrition. | 3 |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Work effectively in interdisciplinary (Soil Science and Plant Nutrition) and multidisciplinary teams; develope individual study skills | 1 |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicate effectively orally and in writing; has a foreign language knowledge at the “beginner” level; write reports effectively in the field of Soil Science and Plant Nutrition, understand written reports, prepare, design and production reports, make effective presentations, take and give clear and understandable instructions. | 1 |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Gain awareness of the necessity of lifelong learning; access information in the field of Soil Science and Plant Nutrition, follow the developments in science and technology, and constantly renew oneself. | |
| PLO09 | Yetkinlikler - Alana Özgü Yetkinlik | Compliance with ethical principles, professional and ethical responsibility in the field of Soil Science and Plant Nutrition, and has knowledge of standards used in engineering practices. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Gain knowledge of business practices as project and risk management and change management; gain awareness of entrepreneurship and innovation; information about sustainable development in the field of Soil Science and Plant Nutrition. | 1 |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | Has information about the effects of Soil Science and Plant Nutrition practice’s on health, environmental, and security in universal scale and social dimensions: The problems of the age reflection related with the field of Soil Science and Plant Nutrition; gain awareness of the legal implications of Soil Science and Plant Nutrition 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 |
| 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, Bireysel Çalışma |
| 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 |
| 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 |
| 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. Download and setup Java applets related with probability | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Bireysel Çalışma, 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 | Öğretim Yöntemleri: Bireysel Çalışma, Problem Çözme |
| 9 | Interval estimation of a population proportion and estimation of a population mean, standard deviation known and unknown | Reading the relevant topic chapters from printed and/or e-books. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 10 | Determining sample size | Reading the relevant topic chapters from printed and/or e-books. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 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 |
| 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 |
| 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 |
| 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 | Öğretim Yöntemleri: Bireysel Çalışma |
| 17 | Term Exams | Preparation for the exam | Öğretim Yöntemleri: Bireysel Çalışma |
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 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||