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。

This course is a continuation of Statistics I. Statistics in Business applies statistical methods in a business context in order to address business related questions and help make evidence based decisions. Students will learn to apply commonly used statistical methods in business contexts and to interpret analyses performed by others. This course will cover: 1. Sampling Distribution 2. One-Sample Hypothesis Tests and Two-Sample Hypothesis Tests. 3. Analysis of Variance. 4. Correlation Analysis. 5. Simple Regression. 6. Multiple Regression. 7. Time-Series Analysis 8. Statistical analysis on financial data using Microsoft Excel and SAS.

1. Essential Statistics in Business and Economics, by David P. Doane, Lori E. Seward. 3rd Edition, 2020, McGraw Hill.
2. Applied Statistics for Business and Management using Microsoft Excel, 2013, Linda Herkenhoff and John Fogli.
3. Statistical Data Analysis Using SAS, 2014, Mervyn G. Marasinghe and Kenneth J. Koehler.