為使修習者熟習現代統計學理論與技巧，以培養處理及分析一般性數據之基本能力。下學期課程內容如下
(1). 點估計與區間估計。
(2). 統計假說檢定。
(3). 變異數分析。
(4). 簡單迴歸分析。
(5).卡方檢定方法。
(6).無母數方法。

To enable practitioners to familiarize themselves with modern statistical scheming and skills, to cultivate the basic abilities of processing and analyzing general data. The following course contents are as follows
(1). Point estimate and area estimate.
(2). Statistical hypothesis confirmation.
(3). Variation analysis.
(4). Simple reproductive analysis.
(5). Chi-square confirmation method.
(6). No master method.

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.

陳可杰,黃聯海,李宗倚,李婉怡,陳益昌譯 Anderson, Sweeney, and Williams,2013, Statistics for Business and Economics, 11th Ed.,滄海

Chen Kejie, Huang Lianhai, Li Zongyi, Li Wanyi, Chen Yichangru Anderson, Sweeney, and Williams, 2013, Statistics for Business and Economics, 11th Ed., Hua Hai