1473 - 統計學 英授 Taught in English
Statistics
教育目標 Course Target
本課程探討如何進行統計推論,以培養同學處理數據之基本能力。學年上下學期內容包括敘述統計學、機率概論、抽樣分配、估計、假設檢定、適合度檢定、變異數分析及迴歸分析。
上學期課程內容包含以下:
資料及資料變數型態
敘述統計量及圖表
基本機率學
離散機率分配
連續機率分配
樣本及樣本分配
中央極限定理及應用
點估計
This course explores how to conduct statistical inference to cultivate students' basic abilities in processing data. Contents in the first and second semesters of the academic year include narrative statistics, introduction to probability, sampling allocation, estimation, hypothesis testing, fitness testing, variation analysis and regression analysis.
Course content last semester included the following:
Data and data variable types
Narrative statistics and graphs
Basic Probability
discrete probability distribution
continuous probability distribution
Samples and sample distribution
Central limit theorem and its applications
point estimate
課程概述 Course Description
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, but the theoretical basis and implications behind the methods are half-understood, or 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: method of analyzing data.
參考書目 Reference Books
Statistics for Business and Economics (Anderson Sweeney Williams, 滄海書局)
Statistics for Business and Economics (Anderson Sweeney Williams, Canghai Bookstore)
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
Attendance Attendance |
10 | |
課堂小考 (總共約8次) Class quizzes (about 8 times in total) |
40 | |
Midterm Exam Midterm Exam |
20 | |
Final Exam Final Exam |
30 |
授課大綱 Course Plan
點擊下方連結查看詳細授課大綱
Click the link below to view the detailed course plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1473
- 學分 Credit: 3-3
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上課時間 Course Time:Tuesday/2,3,4[M230]
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授課教師 Teacher:黃愉閔
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修課班級 Class:國貿系3,4
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選課備註 Memo:限重修同學修課
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