本課程旨在教導學生如何應用統計觀念,方法與多元軟體環境，將大量資料進行資料分析與軟體應用,以提出更具體的量化分析,以增強專業能力,對商學領域學生,統計學是不可或缺的一項重要分析工具。本課程主要目標在培養學生具備(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等知能。This course aims to teach students how to apply concepts, methods and diverse software environments, and analyze large amounts of data and apply software to propose more specific quantitative analysis to enhance professional capabilities. For students in the field of business, statistical engineering is an indispensable and important analysis tool. The main purpose of this course is to train students to prepare (1.) Statistics: description and sorting of data. (2) Opportunity statement: the basis of statistical recommendation. (3) Statistical recommendations: methods of analyzing data and other knowledge.
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�D
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.
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 software packages, students can easily handle the analysis and recommendation of some basic data, and the theoretical basis and implications behind the method are a slight understanding or even a mistake. Therefore, the main course
1.陳建勝、陳美菁、朱瑞淵、呂明哲，統計學：管理個案分析與應用，第三版，智勝文化事業，2013。
2.林慧玲與陳正倉，應用統計學，第四版，雙葉書廊，2009。
3.上課講義與補充資料。
1. Chen Jianxiong, Chen Meijing, Zhu Ruiqing, and Liu Mingzhe, Statistical Science: Management Case Analysis and Application, Third Edition, Intelligent Cultural Affairs, 2013.
2. Lin Huiling and Chen Zhengye, Application Statistics Project, Fourth Edition, Double Leaf Library, 2009.
3. Lectures and supplementary information in class.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 平時平時 Regular |
20 | |
| 作業作業 Action |
25 | |
| 期中考期中考 Midterm exam |
25 | |
| 期末考期末考 Final exam |
30 |
