Practice on Agricultural and Forestry Statistics
| Numbering Code | U-AGR04 2D309 LJ82 | Year/Term | 2022 ・ First semester | |
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| Number of Credits | 2 | Course Type | Practical training | |
| Target Year | 2nd year students | Target Student | ||
| Language | Japanese | Day/Period | Mon.2 | |
| Instructor name | KITANO SHINICHI (Graduate School of Agriculture Associate Professor) | |||
| Outline and Purpose of the Course | This course includes lectures and practical training on statistics and information processing theory and technology that can be practically applied in agricultural economic analysis. When analyzing economic and social problems, it is essential to collect and analyze some form of numerical data. The purpose of this course is to learn the theory and operation methods, from numerical data collection to basic statistical analysis methods. | |||
| Course Goals |
To review the basics of statistics. To learn to collect data for statistical analysis and the process of analysis using Excel or other software (such as Stata or R). To understand the basic concepts of regression analysis and its estimation methods. To learn the basics of econometric analysis methods required for students' future graduate theses and research. |
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| Schedule and Contents |
Week 1: Orientation Weeks 2-14: Each of the following topics will be covered, giving 1-2 weeks per topic 1. Basics of statistics (Data entry and management, Excel) 2. Basics and use of statistics (Economic indices and indicators) 3. Basics of inferential statistics I (Probabilities and main probability distributions) 4. Basics of inferential statistics II (Sample distribution and statistical estimation / test) 5. Use of statistics software (STATA, R) 6. Basic theories of regression analysis I (Estimation of regression coefficients) 7. Basic theories of regression analysis II (Model validity and interpretations) 8. Extensions of regression models Week 15: Feedback |
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| Evaluation Methods and Policy |
Evaluation method: Assignments (40% weightage), final examination (60% weightage). Evaluation criteria: The evaluation criteria and achievement level are in accordance with the "Evaluation Criteria and Achievement Level" described in the Student Handbook of the Faculty of Agriculture for the relevant year. |
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| Course Requirements | Knowledge of basic statistics and basic Excel operations is required. | |||
| Study outside of Class (preparation and review) | The textbooks for the course will be handed out a week before classes begin, so come prepared having gone through them in advance. | |||
| Textbooks | Textbooks/References | The required materials will be presented or prepared during class. | ||
| References, etc. | Will be introduced during class. Other reference materials will also be introduced during class. | |||
