介紹統計推論原理與方法及應用。使學生熟習：假設檢定、實驗設計、變異數分析、卡方檢定及迴歸分析方法之應用，並瞭解如何應用適當的統計方法分析資料。Introduction to the principles, methods and applications of statistical recommendations. Mature students: hypothetical confirmation, experimental design, variation analysis, chi-square confirmation and replication analysis methods, and understand how to apply appropriate statistical methods to analyze data.
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 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, but they do not fully understand the behind the method. Theoretical basis. Therefore, the main purpose of this course is to establish the basic statistical concepts that students can obtain correctly. As much as possible, teach the course content in a simple, vivid and easy to understand way to attract students' interest in learning, avoiding deep content and too much mathematical guidance. The course includes:
1. Statistics: Description and sorting of data.
2. Opportunity theory: the basis of statistical recommendation.
3. Assume confirmation.
4. Change analysis and experimental design.
5. Reply analysis.
統計學 Statistics for Business and Economics 14e, 陳可杰、黃海聯 譯。
Statistics for Business and Economics 14e, Chen Kejie, Huang Hai Connect.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 Midterm exam |
35 | 以會考成績計算 |
| 期末考期末考 Final exam |
30 | 以會考成績計算 |
| 小考小考 Small exam |
25 | |
| 出席及平時表現出席及平時表現 Attendance and performance during peacetime |
10 |
