統計學課程是要讓同學們學會如何去理解、描述、分析、預測我們這個充滿未知且隨機變動的世界的各種現象。所謂的「未知」，不但包括對「尚未實現的未來事件」的未知，也包括那些「雖然重要但卻無法掌握」的資訊或影響因素。無論是要評估行銷方案的成效，還是要認識並管理匯率、股價變動的風險，都需要統計學觀念的指引；因為它們都牽涉到未知、隨機的因素。因此，本課程旨在讓同學們學會統計學的基本觀念；這些觀念不但能幫助同學們順利銜接後續眾多課程的學習，還能讓同學們知道如何以合乎科學的方式去收集、處理、分析、並解讀資訊，以提升決策品質。課程內容除了介紹關於如何整理、呈現資料的敍述統計方法，更重要的是要讓同學們學會推論統計觀念，包括認識何謂隨機事件、隨機變數，並了解估計及假設檢定的原理及方法。Statistics courses are designed to teach students how to understand, describe, analyze, and predict various phenomena in our world that is full of unknowns and random changes. The so-called "unknown" includes not only the unknown about "future events that have not yet been realized", but also includes information or influencing factors that "are important but cannot be grasped". Whether you want to evaluate the effectiveness of marketing plans or understand and manage the risks of exchange rate and stock price changes, you need the guidance of statistical concepts; because they all involve unknown and random factors. Therefore, this course aims to let students learn the basic concepts of statistics; these concepts will not only help students smoothly connect to the study of many subsequent courses, but also let students know how to collect, process, analyze, and analyze data in a scientific way. and interpret information to improve decision-making quality. In addition to introducing narrative statistical methods on how to organize and present data, the course content also teaches students the concepts of inferential statistics, including understanding what random events and random variables are, and understanding the principles and methods of estimation and hypothesis testing.
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、合乎邏輯的概念禪述，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 statistics have expanded to various fields of natural sciences, social sciences, engineering technology, management, economics, art and literature. Ordinary people use statistical information to make various decisions in their daily lives and to make plans for the future. In order to correctly understand and apply all valid information, 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 packaged software, students can easily handle the analysis and inference of some basic data, and the theoretical basis and connotation behind the method But the meaning is half-understood, and even wrong. Therefore, the main purpose of this course is to enable students to acquire correct basic principles, concepts and literacy of statistics. Try to teach concepts that seem simple, reasonable, and logical, and avoid difficult content and too much mathematical derivation, so as not to cause learning obstacles and alienation, and thus make students lose interest in learning.
This course basically covers:
1. Narrative statistics: description and organization of data.
2. Probability theory: the basis of statistical inference.
3. Statistical inference: methods of analyzing data.
Doane, D. P. and Seward, L. E. (2020), Essential Statistics in Business and Economics, 3版, 華泰書局代理進口。
Doane, D. P. and Seward, L. E. (2013), Applied Statistics in Business and Economics, 4版, 華泰書局代理進口。
Doane, D. P. and Seward, L. E. (2020), Essential Statistics in Business and Economics, 3rd edition, imported by Huatai Book Company.
Doane, D. P. and Seward, L. E. (2013), Applied Statistics in Business and Economics, 4th edition, imported by Huatai Book Company.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 midterm exam |
35 | 期中考 |
| 期末考期末考 final exam |
35 | 期末考 |
| 出席率出席率 Attendance |
20 | 出席率 |
| 作業作業 Homework |
10 | 彈性學習需繳交的作業 |
