了解統計學基本概念，如假設檢定、變異數分析、迴歸分析等概念，並藉由管理個案介紹，學習統計在企業管理上之應用。本學期課程包含：
1. Hypothesis Testing 變異數分析
2. Analysis of Variance 實驗設計
3. Chi-square test 卡方檢定
4. Nonparametric Statistical Techniques 無母數統計技術
5. Simple Linear Regression 簡單線性回歸
6. Multiple Regression 多元回歸Understand the basic concepts of statistics, such as hypothesis confirmation, variation analysis, replication analysis, etc., and learn the application of statistics in enterprise management through management case introduction. This course includes:
1. Hypothesis Testing Variation Analysis
2. Analysis of Variance Experimental Design
3. Chi-square test Chi-square test
4. Nonparametric Statistical Techniques
5. Simple Linear Regression
6. Multiple Regression
今天，對統計學的理解、研究和應用，已經擴展到自然科學、社會科學、工程技術、管理、經濟、藝術和文學的各個領域。一般人利用統計訊息在日常生活中作出各種抉擇，制定將來的計畫。為了能對所有有效的訊息正確的理解和應用，人們有必要掌握一定的統計知識。
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，而方法背後的理論基礎及涵意卻是一知半解，甚至錯誤的離譜。因此，本課程的主要目的是讓同學能獲得正確的統計基本原理、概念及素養。盡量教授一些看起來簡單、合理、合乎邏輯的概念闡述，避免艱深的內容和太多的數學推導，以免造成學習障礙與疏離，進而使同學失去學習興趣。
本課程基本上包含：
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.統計推論：分析數據資料的方法。
Today, the understanding, research and application of disciplines has expanded to various fields of natural sciences, social sciences, engineering technology, management, economy, art and literature. Most people use stereotype information to make various decisions in their daily lives and formulate plans to come. In order to correctly understand and apply all effective messages, it is necessary for people to master certain statistical knowledge.
The statistical method is one of the most commonly used methods in today's quantitative scientific research. However, with the advancement of technology and the development of software packages, students can easily handle the analysis and recommendation of some basic data, and the theoretical basis and connotation behind the method. The meaning is a reflection of only a little understanding or even a mistake. Therefore, the main purpose of this course is to enable students to obtain correct statistical basic principles, concepts and cultivation. As much as possible, teach some simple, reasonable and logical concept descriptions, avoid deep content and too much mathematical guidance, so as not to cause learning obstacles and disconnection, and thus make students lose their learning interest.
This course basically includes:
1. Description and collation of data.
2. Opportunity statement: the basis of statistical recommendation.
3. Statistical recommendation: a method of analyzing data.
方世榮、張文賢 著，2010，統計學導論 第六版，台北：華泰文化
Written by Fang Shirong and Zhang Wenchen, 2010, Discussion on Statistics, Sixth Edition, Taipei: Huatai Culture
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 小考小考 Small exam |
20 | |
| 期中考期中考 Midterm exam |
30 | |
| 期末考期末考 Final exam |
30 | |
| 課堂參與課堂參與 Class Participation |
10 | |
| 作業作業 Action |
10 |
