回 | 項目 | 内容 |
第1回 | Introduction
| Introduction to the course will be given. The foundation of inferential statistics and basic theories of probability will be explained.
Prior learning (2 hour): Read the material posted on EcoLink.
Subsequent learning (2 hour): Complete today's assignments.
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第2回 | Probability and Inference (1)
| Concepts of central limit theorem and normal distribution will be explained. Students will study how to apply the methods to the real cases.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第3回 | Probability and Inference (2)
| Concepts of sampling methods, including standard error and confidence intervals, will be explained. Students will study how to apply them in real cases.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第4回 | Probability and Inference (3)
| Concepts of hypothesis testing will be explained. Students will study the examples of application.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第5回 | Probability and Inference (4)
| Exercises of inferential statistics will be given. Students will discuss the results.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第6回 | Regression Models (1)
| Basic concepts of linear regression models will be explained. Students will study the sample cases.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第7回 | Regression Models (2)
| Concepts of non-linear regression, including logarithmic and logistic regression, will be explained. Students will apply the methods to real cases.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第8回 | Statistical Databases (1)
| Major international statistical databases will be introduced. Students will practice using them.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第9回 | Statistical Databases (2)
| Using the databases and the statistical methods taught in the class, students will perform data analysis, and present the results.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第10回 | Price Indices (1)
| Basic index number theories will be explained, using the real statistical series. Students will study the characteristics of various index time series data.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第11回 | Price Indices (2)
| As an extension of price indices, concepts and methods of purchasing power parities (PPP) will be explained. Students will analyze data based on PPP.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第12回 | Input-Output Analysis (1)
| The framework of input-output models and analysis will be explained. Students will study the theoretical background of the theories
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第13回 | Input-Output Analysis (2)
| Use of input-output tables for forecasting demands will be explained. Students will study the applied cases given in the class.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第14回 | Input-Output Analysis (3)
| Exercises will be given. Review the two previous lessons in advance.
Prior learning (2 hour): Read the handouts given in the previous class.
Subsequent learning (2 hour): Complete today's assignments.
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第15回 | Final Examination and Review
| 60 minutes for the test + 30 minutes to analyze the test. Concluding remarks will be given.
Prior learning (2 hour): Review the materials and assignments you studied in the semester, and become able to answer questions.
Subsequent learning (2 hour): Review the results of the final exam, and follow up the parts that you didn't understand well.
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