本課程探討如何進行統計推論，以培養同學處理數據之基本能力。學年上下學期內容包括敘述統計學、機率概論、抽樣分配、估計、假設檢定、適合度檢定、變異數分析及迴歸分析。下學期課程內容包含以下：

下學期課程內容包含以下：

區間估計
信賴區間
常用分配: 1. 常態分配 2. t分配 3. F分配 4. 卡方分配
假設檢定
單一因子變異數分析
雙因子變異數分析
線性迴歸模型

This course explores how to conduct statistical recommendations to cultivate students' basic ability to process data. The contents of the academic year-end and second-year study period include statistical analysis, probability analysis, sampling allocation, estimation, hypothesis determination, suitability determination, variation analysis and replication analysis. The following course contents include:

The following course contents include:

District estimate
Trust area
Common allocation: 1. Regular allocation 2. T allocation 3. F allocation 4. Chi-square allocation
Assumption confirmation
Analysis of single factor variations
Analysis of dual factor variations
Linear rehabilitation model

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.

Statistics for Business and Economics (Anderson Sweeney Williams, 滄海書局

Statistics for Business and Economics (Anderson Sweeney Williams, 海南官网