統計學課程是要讓同學們學會如何去理解、描述、分析、預測我們這個充滿未知且隨機變動的世界的各種現象。所謂的「未知」，不但包括對「尚未實現的未來事件」的未知，也包括那些「雖然重要但卻無法掌握」的資訊或影響因素。無論是要評估行銷方案的成效，還是要認識並管理匯率、股價變動的風險，都需要統計學觀念的指引；因為它們都牽涉到未知、隨機的因素。因此，本課程旨在讓同學們學會統計學的基本觀念；這些觀念不但能幫助同學們順利銜接後續眾多課程的學習，還能讓同學們知道如何以合乎科學的方式去收集、處理、分析、並解讀資訊，以提升決策品質。課程內容除了介紹關於如何整理、呈現資料的敍述統計方法，更重要的是要讓同學們學會推論統計觀念，包括認識何謂隨機事件、隨機變數，並了解估計及假設檢定的原理及方法。

The course of the discipline is to let students learn how to understand, describe, analyze, and predict the various phenomena of our world full of unknown and randomly changing. The so-called "unknown" not only includes unknowns about "unrealized future events", but also information or influencing factors that are "even though important but unaware". Regardless of whether it is to evaluate the effectiveness of the marketing plan, or to recognize and manage the risks of exchange rates and share price changes, it requires guidance from statistical concepts; because they all involve unknown and random factors. Therefore, this course aims to let students learn basic concepts of association discipline; these concepts not only help students successfully continue learning of multiple courses, but also let students know how to collect, process, analyze, and interpret information in a scientifically compatible way to improve decision quality. In addition to introducing the statistical methods of how to organize and present data, the course content is more important to let students recommend the concepts, including knowing what random events and random variables are, and understanding the principles and methods of estimation and hypothesis confirmation.

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，但並不全然了解方法背後之理論基礎。因此，本課程的主要目的是建立同學能獲正確的統計基本概念。盡量以簡單、生動且易於了解的方式講授課程內容進而引發同學學習之興趣，避免艱深的內容和太多的數學推導。本課程內容包含：
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. 假設檢定。
4. 變方分析與實驗設計。
5. 迴歸分析。

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 recommendation of some basic data, but they do not fully understand the theoretical basis behind the method. Therefore, the main purpose of this course is to establish the basic statistical concepts that students can obtain correctly. As much as possible, teach the course content in a simple, vivid and easy to understand way to attract students' interest in learning, avoiding deep content and too much mathematical guidance. The course includes:
1. Statistics: Description and sorting of data.
2. Opportunity theory: the basis of statistical recommendation.
3. Assume confirmation.
4. Change analysis and experimental design.
5. Reply analysis.

統計學，陳可杰、黃聯海 譯，滄海圖書

Statistical studies, Chen Kejie, Huang Hai translation, Huanhai Book