基本素養 Basic Literacy
□ 文化傳承
Culture transition
□ 歷史意識
Historical consciousness
□ 藝術涵養
Artistic literacy
□ 公民素養
Civil literacy
□ 社會關懷
Social concern
■ 經世濟民
Benefit people and the society
□ 國際視野
International Perspective
核心能力 Competence
□ 鞏固系定基礎知識
Consolidate fundamental knowledge in economics
□ 獲得跨領域的多樣化知識
Acquire diversified knowledge from interdisciplinary fields
■ 熟悉經濟分析工具
Be familiar with tools for economic analysis
□ 擴展經濟應用
Expand economic applications
□ 語文與溝通能力
Language proficiency and communication ability
□ 創新與領導能力
Innovative and Leadership Abilities
課程概述 Course Description
基本統計學包含敘述統計與推論統計，敘述統計是將資料組織及彙整， 並加以綜合描述的方法，推論統計是利用各種測度來解釋樣本資料，並推論母體的特性，由於推論統計是近代統計學的核心，因此本課程除了介紹敘述統計的方法之外，將著重於推論統計，特別是其推論方法的機率觀念，為了能夠更清楚地掌握統計觀念，我們將利用數學推導來說明(或證明)重要結果。The basic statistics include descriptive statistics and inferential statistics. The former is to organize and to summarize the data in a systematic way so as to reach comprehensive statement for the sample; the latter is to use various measures to characterize the sample and patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and are then used to draw inferences about the process or population being studied. The inferential statistics is the core of the modern statistics and thus this course will emphasize the inferential statistics other than the methods of descriptive statistics. In particular, this course is concerned with the theoretical basis of the statistics using probability theory in order to clearly grasp the major concept of statistics. The mathematical methods will be employed to exemplify (or prove) the important statistical theory.
課程學習目標 Course Objectives
課程進度 Course Outline
| 週次 Week | 進度說明 Progress Description |
|---|---|
| 1 | Introduction |
| 2 | Some special distributions |
| 3 | Some special distributions |
| 4 | Important sampling distributions |
| 5 | Important sampling distributions |
| 6 | Methods of estimation |
| 7 | Methods of estimation |
| 9 | Limiting distribution |
| 10 | Midterm |
| 11 | Consistency and unbiasedness |
| 12 | Sufficiency, efficiency and completeness |
| 13 | Interval estimation |
| 14 | Neyman-Pearson Lemma, most power test |
| 15 | Neyman-Pearson Lemma, most power test |
| 16 | UMPT and MLR |
| 17 | More hypothesis testing |
| 18 | Final exam |
以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.
有關課程其他調查 Other Surveys of Courses
1.本課程是否規劃業界教師參與教學或演講? 否Is there any industry specialist invited in this course? How many times? No
2.本課程是否規劃含校外實習(並非參訪)? 否
Are there any internships involved in the course? How many hours? No
3.本課程是否可歸認為學術倫理課程? 否
Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
4.本課程是否屬進入社區實踐課程? 否
Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No