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Information
| Code | BBP136 |
| Name | Introduction to Statistics |
| Term | 2023-2024 Academic Year |
| Semester | 2. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 4 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. ZEYNEL CEBECİ |
| Course Instructor |
Prof. Dr. ZEYNEL CEBECİ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Learn the basic concepts of statistics, analysis and reviews statistical problems encountered
Course Content
Students will comprehend gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, correlation and regression models, chi-square test
Course Precondition
No prerequisite 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 | Learn data organization, the methods of sampling and sample selection |
| LO02 | Understand measures of central tendency and dispersion measures |
| LO03 | understand sampling distributions and the properties |
| LO04 | Learn the probability and related topics |
| LO05 | Apply hypothesis testing |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Adequate knowledge on subjects specific to the discipline of Mathematics, Science and Agricultural Engineering (Horticulture), ability to use theoretical and applied knowledge in these fields in complex engineering problems | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The ability to identify and solve problems related to the cultivation, breeding and product preservation of fruit, vegetables, vineyards and ornamental plants in horticulture, the ability to choose and apply appropriate analysis and modeling methods for this purpose. | 3 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | The ability to design in a way that meets the necessary conditions for the cultivation of fruit, vegetables, vineyards and ornamental plants in the open and greenhouse in horticulture and the ability to apply modern design methods for this purpose. | 1 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Ability to select and use modern tools necessary for the analysis and solution of complex problems encountered in horticulture practices, ability to use information technologies effectively | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Ability to design and conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research issues in the field of Horticulture | 2 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Breeding of Horticultural Plants, developing new varieties, making selection, protecting genetic resources, producing propagation materials (seeds, seedlings, saplings) of developed varieties, ability to work in individual and multi-disciplinary teams | |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to write effective reports in the field of Horticulture, to understand written reports, to prepare design and production reports, to make effective presentations, to take and give clear and understandable instructions | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Awareness of the necessity of lifelong learning, the ability to access information in the field of Horticulture, to follow the developments in science and technology and to constantly renew oneself | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Behaving in accordance with ethical principles, professional and ethical responsibility in the field of Horticulture, and knowledge of standards used in engineering practices | 3 |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Information about applications in business life, such as project management, risk management and change management in the field of Horticulture, awareness of entrepreneurship, innovation, information about sustainable development | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | Knowledge of the effects of horticultural practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of Horticulture, awareness of the legal consequences of horticultural solutions |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | use pdf and properties of the normal distribution, calculate the mean and standard deviation , using the standard normal distribution table | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 2 | Normal approximation to the binomial distribution, continuity correction and calculation of probability, the use of the table for given probability | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 3 | Some continuous distributions and their characteristics, sampling and sample selection methods, Introduction to Data Analysis, Frequency Chart, Histogram, frequency polygon drawing | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 4 | Measures of central tendency (mean, median, mode, geometric mean, harmonic mean) | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 5 | Measures of Dispersion, Dal leaf display, Box drawing, Coefficient of Variation | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 6 | Sampling Distributions and estimation, point estimation, estimators, mean and variance of the sample properties | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 7 | Interval estimation for the population mean, t-distribution, (known and unknown, while sigma), chi-square, F distribution, sample size calculation | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | The range for the population variance estimation, interval estimation for the difference between two population means (mass variances are known, unknown) | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 10 | Estimation for the proportion of variance , interval estimation for the binomial parameter p, the interval for the difference of two binomial parameter estimation | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 11 | Hypothesis tests, simple hypothesis testing, hypothesis testing for the population mean (variance of the population is known, unknown) | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 12 | hypothesis testing for population the variance , hypothesis testing for the difference in the two group averages | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 13 | Hypothesis test for the equality of population averages | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 14 | Chi-square tests | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 15 | Classification tables and problem-solving | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 16 | Term Exams | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources | 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 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 88 | ||
| Total Workload / 25 (h) | 3,52 | ||
| ECTS | 4 ECTS | ||