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)

90

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

Statistics is the art and science of using sample data to make generalization about populations. This course is the first in a two-semester sequence (Statistics I & Statistics II) that aims to provide a comprehensive understanding of the fundamental statistics and the basic concepts of data analysis. It is intended for undergraduate students who either have no prior statistics courses, or who wish to review the fundamentals before taking additional advanced statistics courses. The core topics in this semester will include descriptive statistics, basic concepts of probability, type of distributions, confidence interval, and hypothesis testing for one-sample problems. Note that the "Course Schedule & Requirements" provided below are subject to change depending on the actual progress of the class. (本課程為中文授課。每週教學內容與課程進度,會依實際授課狀況做調整! TA課為星期四78。小考會在TA課,請確認可以上TA課再修課。)

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

    The course provides students the underlying foundations of statistics with applications. Students successfully completing this course should be able to: 1) distinguish between population characteristics and sample information, 2) understand the methods for collecting, organizing and describing sets of data, 3) comprehend the role of random variables and sampling distributions applying to statistical inferences, and 4) recognize the fundamental concepts of statistical inferences.

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

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

    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

    Course Introduction, Chapter 1

    Lecture

    2

    National Holiday (中秋節)

     

     

    3

    Descriptive Statistics

    Chapter 2-3

    Lecture

    4

    Descriptive Statistics

    Chapter 2-3

    Lecture, HW

    5

    Introduction to Probability

    Chapter 4

    Lecture

    6

    Introduction to Probability

    Chapter 4

    Lecture, HW, Quiz

    7

    Discrete Probability Distributions

    Chapter 5

    Lecture

    8

    Discrete Probability Distributions

    Chapter 5

    Lecture, HW

    9

    Midterm Exam

     

    Midterm Exam

    10

    Continuous Probability Distributions

    Chapter 6

    Lecture

    11

    Continuous Probability Distributions

    Chapter 6

    Lecture, HW

    12

    Sampling and Sampling Distributions

    Chapter 7

    Lecture, HW

    13

    Estimation and Confidence Intervals

    Chapter 8

    Lecture

    14

    Estimation and Confidence Intervals

    Chapter 8

    Lecture, HW

    15

    Introduction to Hypothesis Testing

    Chapter 9

    Lecture, Quiz

    16

    Introduction to Hypothesis Testing

    Chapter 9

    Lecture, HW

    17

    Review, Statistical Software Introduction (R / SAS)

    Chapter 1-9

    Self Study & E-Learning

    18

    Final Exam

     

    Final Exam

    授課方式Teaching Approach

    80%

    講述 Lecture

    10%

    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

    In-class attendance and activity 10%, Quiz 30% (on TA class), Midterm Exam 30%, Final Exam 30%

    (註:TA課為星期四78。小考會在TA課,請確認可以上TA課再修課)

    指定/參考書目Textbook & References

    Required Textbook: by D. R. Anderson, D. J. Sweeney, T. A. Williams, J. D. Camm, and J. J. Cochran. Statistics for Business and Economics (14th or 15th edition; 14th edition is recommended).

    Some References:

    1. Elementary Statistics: A Step by Step Approach (10th or later edition) by Allan Bluman.
    2. Statistical Techniques in Business and Economics (18th or later edition) by Douglas Lind, William Marchal, and Samuel Wathen.

    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.

    課程相關連結Course Related Links

    Moodle: http://moodle.nccu.edu.tw/
    (註:每週教學內容與課程進度,會依實際授課狀況做調整!)
    

    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

    列印