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Information
| Code | ORM112 |
| 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 | Ön Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi DURMUŞ ÇETİNKAYA |
| Course Instructor |
Öğr. Gör.Dr. CENGİZ KEŞMER
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The purpose of statistics , types of variables , basic descriptive statistics calculated depending on the variable type , some important statistical distributions , basic statistical methods such as correlation and regression to introduce students
Course Content
What is Statistics , Some types of basic statistical concepts and variables, Frequency charts for continuous data, The frequency table for discrete data, Graphical representation of data, Quantitative data on the average , median, frequency distribution of descriptive measures , such as peak position ( Measures of central tendency ), Identifying the frequency distribution in percentages of the quantitative data , quarterly and decimals, Quantitative data on standard deviation, variance, frequency distribution of descriptive measures such as changes in the coefficient of variation, Qualitative data rates in frequency variance, Discrete probability distributions: binomial distribution , hypergeometric distribution , Poisson distribution, Continuous probability distributions: normal distribution , standard normal distribution, Hypothesis testing and trial planning, Non-Parameter tests, One- way analysis of variance
Course Precondition
None
Resources
Basic Statistics Courses - Abdullah Tekin
Notes
Lecture Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | 1) Know the purpose and uses of statistics . |
| LO02 | 2)Distinguish the types of variables. |
| LO03 | 3)Learn basic statistical calculations according to different types of variables. |
| LO04 | Learn the basic concept of probability and probability distributions. |
| LO05 | Defining means, variances and proportions. |
| LO06 | Explaining the test statistic and rejection limits. |
| LO07 | Earn knowledge reading statistical tables. |
| LO08 | Gain information obtaining the sample mean and the distribution sampling of variance |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains the basic knowledge and general concepts related to Forestry and Forestry Products. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Understand national and international forestry policies, laws and obligations. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Uses modern technology and appropriate methods for forestry applications and uses the necessary tools and equipment for forestry services. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Acts in accordance with the law on forestry and forest products and develops positive attitude towards lifelong learning with the knowledge and skills acquired in the field. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Will be able to think analytically, collect and analyze the information about his / her work in the field of forestry and forest products and transfer the information he / she obtained to the application. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | He / she is sensitive to current events and developments and uses these developments effectively. | 5 |
| PLO07 | Bilgi - Kuramsal, Olgusal | The researches about the profession collects information, makes a report, also explains this report clearly to the institutions and people in which it serves, orally and in writing. | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Wood can be produced as a forest product and the wood can be explained as a manager. | 5 |
| PLO09 | Bilgi - Kuramsal, Olgusal | The planting, cultivation, maintenance, cutting, production, transportation and storage of primary and secondary forest trees. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | He / she manages the employees in accordance with scientific, cultural and ethical values. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Wood and non-wood forest products have sufficient knowledge in the field of production technologies and can work as a team leader in the plants where these products are processed. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Uses the skills of creating, editing, communicating, storing, presenting and sharing corporate information by using computer and internet technologies. | |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Use a foreign language at intermediate level to follow the information in his field and communicate with his colleagues at an adequate level. | 4 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To have basic knowledge about cell and organ structure, vital activities, plant-water-soil relationship, meteorological events, ecology and environmental problems in plants. | 2 |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | The development of forests shall provide protection against irregular and unlawful interventions, natural disasters, fires, various forest pests and necessary controls. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | What is Statistics | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 2 | Some types of basic statistical concepts and variables | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 3 | Frequency charts for continuous data | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 4 | The frequency table for discrete data | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 5 | Graphical representation of data | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 6 | Quantitative data on the average , median, frequency distribution of descriptive measures , such as peak position ( Measures of central tendency ) | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 7 | Identifying the frequency distribution in percentages of the quantitative data , quarterly and decimals | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Quantitative data on standard deviation, variance, frequency distribution of descriptive measures such as changes in the coefficient of variation | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 10 | Qualitative data rates in frequency variance | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 11 | Discrete probability distributions: binomial distribution , hypergeometric distribution , Poisson distribution | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 12 | Continuous probability distributions: normal distribution , standard normal distribution | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 13 | Hypothesis testing and trial planning | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 14 | Non-Parameter tests | Reading the lecture notes and related resources | Öğretim Yöntemleri: Anlatım |
| 15 | SPSS apllications | Reading the lecture notes and related resources | Ölçme Yöntemleri: Yazılı Sınav |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | 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 | 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 | ||