教學大綱 Syllabus

科目名稱:統計學(一)

Course Name: Statistics(I)

修別:必

Type of Credit: Required

3.0

學分數

Credit(s)

140

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

Statistics is a course about data analysis. This course will begin with a brief overview of the discipline of statistics and will then quickly focus on descriptive statistics, introducing graphical methods of describing data. You will learn the standard and typical probability theorems and random distributions, the latter of which serves as the foundation for statistical inference.  Besides we will focus on both estimation and hypothesis testing issues. We will also examine the techniques to study the relationship between two or more variables.

核心能力分析圖 Core Competence Analysis Chart

能力項目說明


    課程目標與學習成效Course Objectives & Learning Outcomes

    An introductory course in statistics is designed to introduce students to some of the basic concepts related to statistics. Topics included are summary statistics of variables, probability, sampling distributions, estimation, and statistical inference.

    At the end of this course, the students should be able to

    - Develop statistical thinking.

    - Learn how to create, read, and interpret graphs, charts, histograms, and diagrams.

    - Learn basics about statistical inference.

    - Understand variability and sampling distributions.

    - Have quantitative skills to employ and build on in flexible ways.

    - Develop programming skill

    每周課程進度與作業要求 Course Schedule & Requirements

    週次

    課程主題

    課程內容與指定閱讀

    教學活動與作業

     
     

    1

    Introduction to Statistics/

    Tabular and Graphs

    Ch 1/2

    Lecture

     

    2

    Holiday

    Ch2

    Holiday

     

    3

    Tabular and Graphs/Numerical Measures

    Ch 2/3

    Lecture/HW1/Ex of Ch2

     

    4

    Descriptive Statistics/Introduction to Probability

    Ch3-4

    Lecture/Ex of Ch3

     

    5

    Introduction to Probability

    Ch 4

    Lecture/Quiz I/HW2/ Ex of Ch4

     

    6

    Discrete Distribution

    Ch 5

    Lecture/Ex of Ch4

     

    7

    Discrete Distribution

    Ch 5

    Lecture/HW3/ Ex of Ch5

     

    8

    Continuous Probability Distributions

    Ch 6

    Lecture/Ex of Ch5

     

    9

    Midterm

    Ch 1-5

    Midterm

     

    10

    Continuous Probability Distributions

    Ch 6

    Lecture/HW4/Ex of Ch6

     

    11

    Point Estimation

    Ch 7

    Lecture/Ex of Ch6

     

    12

    Sampling Distributions and Sampling Methods

    Ch 7

    Lecture/HW5/Ex of Ch7

     

    13

    Central Limit Theorem

    Ch 8

    Lecture/Quiz II/Ex of Ch7

     

    14

    Confidence Intervals

    Ch 8

    Lecture/HW6/Ex of Ch8

     

    15

    Introduction to Hypothesis Testing

    Ch 9

    Lecture/Ex of Ch8-9

     

    16

    Introduction to Hypothesis Testing

    Ch9

    Lecture/HW7/Ex of Ch9

     

    17

    Review

    Ch 6-9

     

     

    18

    Final

    Ch 6-9

    Final

     

    授課方式Teaching Approach

    90%

    講述 Lecture

    0%

    討論 Discussion

    0%

    小組活動 Group activity

    10%

    數位學習 E-learning

    0%

    其他: Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Midterm: 30%

    Final Exam: 30%

    Quiz: 30%(15%+ 15%)

    HW: 10%

    指定/參考書目Textbook & References

    Statistics for Business and Economics by Anderson, Sweeney, Williams, Camm and Cochran (the latest version)

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

    維護智慧財產權,務必使用正版書籍。 Respect Copyright.

    本課程可否使用生成式AI工具Course Policies on the Use of Generative AI Tools

    本課程無涉及AI使用 This Course Does Not Involve the Use of AI.

    課程相關連結Course Related Links

    
                

    課程附件Course Attachments

    課程進行中,使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    需經教師同意始得使用 Approval

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