要成為一位優秀的研究人員,首要具備獨立思考的能力, 統計學這門課協助妳/你擁有量化研究之專業能力,藉由專業的統計方法和知識,將數據轉換為有用的資訊,探討日常生活中無所不在的統計,以及如何正確使用統計,並利用統計進行決策判斷,在龐大的資料流中,有效率的進行有用資料之探勘和採礦,並在統計學的學習過程中逐漸培養妳/你的國際觀和思考判斷等競爭力.透過實際問題的思索和探究,並結合小組團隊合作,將統計理論融合於實務操作,培養學生職涯發展所需之跨領域專長.To become an excellent researcher, you must first have the ability to think independently. This course in statistics helps you/you have the professional ability in quantitative research. Through professional statistical methods and knowledge, you can transform data into useful information and explore Statistics are ubiquitous in daily life, and how to use statistics correctly and make decision-making judgments. In the huge data flow, you can efficiently explore and mine useful data, and gradually cultivate you in the process of learning statistics. Your international outlook, thinking and judgment and other competitiveness. Through thinking and exploration of practical problems, combined with group teamwork, statistical theory can be integrated into practical operations to cultivate the cross-field expertise required for students' career development.
今天，對統計學的理解、研究和應用，已經擴展到自然科學、社會科學、工程技術、管理、經濟、藝術和文學的各個領域。一般人利用統計訊息在日常生活中作出各種抉擇，制定將來的計畫。為了能對所有有效的訊息正確的理解和應用，人們有必要掌握一定的統計知識。
統計方法是現今計量科學研究中最常用的方法之一，但是，隨著科技的進步、套裝軟體的發達，同學可以很容易的處理一些基本資料的分析及推論，而方法背後的理論基礎及涵意卻是一知半解，甚至錯誤的離譜。因此，本課程的主要目的是讓同學能獲得正確的統計基本原理、概念及素養。盡量教授一些看起來簡單、合理、合乎邏輯的概念禪述，避免艱深的內容和太多的數學推導，以免造成學習障礙與疏離，進而使同學失去學習興趣。
本課程基本上包含：
1. 敘述統計：關於數據資料的描述及整理。
2. 機率論：統計推論的基礎。
3. 統計推論：分析數據資料的方法。
Today, the understanding, research and application of statistics have expanded to various fields of natural sciences, social sciences, engineering technology, management, economics, art and literature. Ordinary people use statistical information to make various decisions in their daily lives and to make plans for the future. In order to correctly understand and apply all valid information, it is necessary for people to master certain statistical knowledge.
Statistical methods are one of the most commonly used methods in today's quantitative scientific research. However, with the advancement of technology and the development of packaged software, students can easily handle the analysis and inference of some basic data, and the theoretical basis and connotation behind the method But the meaning is half-understood, and even wrong. Therefore, the main purpose of this course is to enable students to acquire correct basic principles, concepts and literacy of statistics. Try to teach concepts that seem simple, reasonable, and logical, and avoid difficult content and too much mathematical derivation, so as not to cause learning obstacles and alienation, and thus make students lose interest in learning.
This course basically covers:
1. Narrative statistics: description and organization of data.
2. Probability theory: the basis of statistical inference.
3. Statistical inference: methods of analyzing data.
1. Newbold, P., Carlson, W., and Thorne, B.M., C.(2013), Statistics for Business and Economics, 8th edition, Pearson Education, Inc. （滄海圖書代理）(Textbook)
2. Agresti, A. and Franklin, C.(2009), Statistics—The Art and Science of Learning from Data, 2nd edition, Pearson Education, Inc. （東華書局/新月圖書代理）
3. 邱皓政*，量化研究與統計分析—SPSS資料分析範例，五南圖書股份有限公司，2010年10月五版.
1. Newbold, P., Carlson, W., and Thorne, B.M., C.(2013), Statistics for Business and Economics, 8th edition, Pearson Education, Inc. (Textbook)
2. Agresti, A. and Franklin, C. (2009), Statistics—The Art and Science of Learning from Data, 2nd edition, Pearson Education, Inc. (Donghua Book Company/Crescent Book Agency)
3. Qiu Haozheng*, Quantitative Research and Statistical Analysis—SPSS Data Analysis Example, Wunan Books Co., Ltd., October 5, 2010.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 midterm exam |
30 | 筆試進行 |
| 期末考期末考 final exam |
30 | 筆試進行 |
| 平時成績平時成績 usual results |
40 | 包括課堂出席與討論成績, 作業成績和平時考試 |
