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。

The objective of this course is to provide students with knowledge in basic probability theory, statistical inferences and statistical analysis methods. This course will cover the following topics: 1. Basic probability theory. 2. Introduction of discrete random variables, including binomial , hypergeometric and Poisson random variables. 3. Introduction of histogram, basic calculus, and probability density function. 4. Introduction of continuous random variables, including uniform, exponential, normal, Student, F and the Chi-squared random variables. 5. Basic statistical inferences, including derivation of expected value, variance, covariance, correlation coefficient, marginal distribution and joint distribution of two variables. 6. Estimation, including point estimation and interval estimation. 7. Consistency and the application of the central limit theory.

Statistics for Business and Economics 13th edition, by Anderson, Sweeney, Williams, Camm and Cochran