113-1 統計學(一) Statistics (I)

Course Information:

• • Academic Year and Semester：113/1 (2024/09~2025/01)
  • Course Titles：統計學（一） Statistics (I)
  • Course Codes：000359201
  • Course Credits：3
  • Classroom：商館260306
  • Class Time：四D56 (Thu, 13:10-16:00)
  • Course Department: Statistics
  • Language of Instruction：English
  • Instructor: Wu Han-Ming (吳漢銘), Associate Professor, Department of Statistics. Office: College of Commerce 261103,  ext: 81103。E-mail: wuhm@g.nccu.edu.tw.
  • Office Hour：Tue, 10:00-12:00, Need to make an appointment first)
  • Teaching Assistant (TA) Class:
    • Data and Time: 二78 (Tue, 16:10-18:00)。(once/week, or biweekly depend on TA)
    • Place: The Commerce Building, R260106.。(Free to join TA class, no roll call.)
    • TA：Ashwini Mogal, PhD Student, Department of Statistics
    • Office Hour and Place：Every Tuesday, 13:00-14:00, at 9th floor of the Commerce Building (in front of the statistics office)。
    • E-mail: ashwinismogal@gmail.com
    • TA’s Teaching Material: the link will be announced in Class FB group。
    • TA’s Duties: Answering students’ course questions, preparing teaching materials for TA classes (including R programming) and explaining some exercises, and reporting students’ learning issues to the teacher, proctoring exams, correcting the exam paper and grading.
  • Help Resources：Teacher’s Email、Teacher’s FB Messenger、Teacher’s Office Hour、Course FB Group、TA’s Email、TA’s Office Hour、Application for One-to-One Tutor。
  • Notes：Students who have a schedule conflict with the TA class cannot enroll. (School’s regulation).  (實習課衝堂者均不得選正課。)

Announcements:

• • TOP:  Score Sheet (updated: 2024/11/28)  (Please refresh the webpage to update the PDF file.)
    

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  • [2024/11/29] Midterm Exam Sheet | Solution  | R Bonus Exam Solution
  • [2024/11/11] Midterm exam
    • A preview of the Paper Exam Question Sheet is given at the course FB group.
    • Notes for 113-1 Midterm Exam of Statistics (I), Bonus Test, R Programming. (How to Upload the R answer sheet: please try to upload a word file to “upload_testing” folder for testing! The login name and password are announced on course FB group.)
    • Download R exam sheet: 113-1-Stat-R-Midterm.zip
  • [2024/11/10] Midterm exam

    • Paper Exam: Time: 2024/11/14, 13:10–14:50; Scope: Chapters 1–4
      Notes:
      1. Closed book; no memorized papers are allowed.
      2. Please bring a calculator (without programming functions; it should ideally include square root and logarithm functions).
      3. Smart phones and laptops are not permitted.
      4. Seating arrangements will be announced 10 minutes before the exam. [See Seating Sheet]

    • R Bonus Test (optional): Time: 2024/11/14, 15:00–16:00; Scope: Chapters 1–4
      Notes:
      1. Open book; you may bring any reference materials, including the course R video (please remember to wear earphones), and internet access is allowed.
      2. Please bring your own laptop. Ensure R and MS Word are functioning properly.
      3. Smart phones and messaging apps (e.g., LINE, FB, IG) are not permitted during the exam.
      4. Follow the specified upload procedure. Failure to do so will result in a 10-point deduction.

  • [2024/11/04] Quiz (1) exam sheet | Solution.
  • [2024/10/31] [NOTE:] The Taipei City Government has announced the suspension of work and classes on October 31. The class schedule will need to be modified again; otherwise, there will be significant delays in course progress.
    • 10/31: Demonstration using R (I), No class. Student Online Learing.
    • 11/07: Regular Class: Ch4 (No roll call. If you have other activities planned, feel free to go ahead.)
    • 11/14: Midterm Exam. (13:10~14:50 Paper Exam; 15:00~16:00 R Bonus Test (optional))
    • [2024/10/27] Class schedule modified:
    • 10/31: Regular Class: Ch4
    • 11/07: Demonstration using R (I), No class. Student Online Learing.
    • 11/14: Midterm Exam. (13:10~14:50 Paper Exam; 15:00~16:00 R Bonus Test (optional))
  • [2024/10/20] Video Updated on the Course google drive:
    (1) 10/17 class video.
    (2) R videos: chap01~05, chap05~08.
    (Please download the R source code here: Stat_Rcode_ch02-09.zip)

  • [2024/10/19] Quiz (1): Paper exam; Time: 2024/10/24, 15:00~16:00; Scope: Chapters 1–3.
    Notes:

    1. The regular class will be held from 13:10 to 14:50.

    2. Please bring a calculator (without programming functions; it should ideally have square root and logarithm functions). Cell phones and laptops are not allowed.

    3. Seating arrangements will be announced 10 minutes before the exam. [Seating Sheet]

  • [2024/10/19] The “Midterm Teaching Feedback Survey” for each course in the first semester of the 113th academic year will be conducted from October 28, 2024, to November 3, 2024. Please kindly inform students to actively participate in completing the survey.

    113學年度第1學期各開課科目「期中教學意見調查」作業將自113年10月28日起展開調查，持續至11月3日止，敬請轉知學生踴躍填答。
    (政大網站首頁登入iNCCU，於校園資訊系統→校務系統Web入口→學生資訊系統→學術服務項下，點選「本學期教學意見調查」連結。)

  • [2024/10/02] In accordance with the Taipei City Government’s announcement, due to the approaching Typhoon Sandor, all work and classes will be suspended on October 3 (Thursday). As a result, the scheduled classes will be canceled. Please stay safe and pay attention to further announcements regarding class arrangements.
    • Quiz 1 has been postponed to 10/24.  
    • The midterm exam has been postponed to 11/14.
  • [2024/09/26]  TA Office Hour and Place: Every Tuesday, 13:00-14:00, at 9th floor of the Commerce Building (in front of the statistics office)。
  • [2024/09/26] TA class: Start on 09/24(Tue), 16:10-17:00, once in a week. Location: The Commerce Building, R260106.
  • [2024/09/19] The link for the class videos, R videos, and the selected exercises solution has been announced in the course FB  Group.
  • [2024/09/09] The class videos will be released after class for students to review. The link will be announced on the course’s FB.
  • [2024/09/09] Lecture notes: [Teacher’s Version] [Student’s Version]。(Please do not ask the teacher for the solution to the lecture notes’ computational/application questions and past exam questions.)
  • [2024/09/09] The dataset used in this textbook.
  • [2024/09/09] There are parts of solutions of selected exercises of each chapter posted on the Teaching Material Link of TA.
  • [2024/09/09] Students who wish to add this course, please print the “Course Add Form” and give it to the teacher for signature during the first class, or, email the PDF file of the “Course Add Form” to the teacher for signature. (No further additions will be allowed once the maximum number of students is reached.)
  • [2024/09/09] (!! Important !!) Please, students taking the course, join the private Course Facebook Group.:「113-1-統計學 (一)課程FB社團」。(Not mandatory)
    • Students with course questions can post them in the course FB group (either anonymously or with their real name), and they will be answered by the TA/teacher.
    • The TA/teacher will post real-time news, exam hints, class video URLs, or upload account and password information in the course FB group.
    • The TA/teacher will not accept course-related questions through Facebook private messages or Emails..
    • If you have personal questions, you can send a private FB message or email to the TA or teacher.
  • [2024/09/08] The syllabus provided in the school’s course search is for reference only. Please refer to the information on the teacher’s course website for the most accurate details.

Course Description:

This course primarily introduces the theory and computation methods of statistics, as well as their applications in business. The textbook used is “Statistics for Business & Economics (14th Edition) by Anderson et al., 2019, published by Cengage Learning Ltd. (ISBN: 0357114485).” It is supplemented with a Chinese reference book: “Modern Statistics (2nd Edition) by Chen Zhengcang and Lin Huiling, published on July 17, 2020, by Shuangye Bookstore. (ISBN: 9789579096805)”. Topics covered in the this semester included: descriptive statistics, statistical charts, (discrete and continuous) probability distributions, sampling distributions, (point and interval) estimation, hypothesis testing, and so forth. The primary method of instruction is lecture-based. In addition to teaching statistical theory, we will also use R software for calculations of statistical quantities and probability distributions, creating statistical charts, and interpreting test reports. (Note: The weekly course progress and homework requirements will be adjusted according to the actual teaching situation.)

Course Objectives & Learning Outcomes:

The learning objectives of this course are such that upon completion, students should be able to demonstrate the following abilities: (1) Understand and explain specific terminologies in statistics. (2) Comprehend the major theories of probability distribution and sampling distribution in statistics. (3) Understand the principles of hypothesis testing and be able to apply them to real-world problems, making statistical inferences. (4) Conduct descriptive statistics, calculate probabilities, execute hypothesis tests, and draw statistical graphs using statistical software. (5) Interpret the implications of reports and charts generated by statistical software.

Course Schedule:

(The course schedule is subject to change based on the actual teaching circumstances.)

Textbook & References:

• • Textbook: Anderson et al., 2019, Statistics for Business & Economics (14th Edition), Cengage Learning Ltd. (ISBN: 0357114485). [滄海圖書代理]
  • References:
    • 陳正倉, 林惠玲, 現代統計學(二版), 2020/07/17, 雙葉書廊出版社. (ISBN: 9789579096805)
    • Peter Dalgaard (2008), Introductory Statistics with R, 2nd Ed., Springer.
  • Learning Resouces on Youtube:
    • Statistics, The Organic Chemistry Tutor.
    • Statistics, Luther Maddy.
    • 唐麗英老師 – 統計學(一) (基礎統計) Statistics (I)
    • 唐麗英老師 – 統計學(二)(進階統計) Statistics (II)
    • 謝邦昌 – 基礎統計學
    • R programming for beginners, R Programming 101.
    • Introduction to R, DataDaft.

Teaching Approach:

• • Lecture
  • E-learning

Evaluation Criteria:

• • Quiz (30%): Two quizs
  • Midterm exam (30%)
  • Final exam (30%)
  • Attendance (10%): (有到有分，沒到沒分，不管請假和任何因素)
  • Homework (0%)、TA (0%)。
  • Bonus exam (extra 20%): R programming, two times，after the midterm exam and final exam。
  • Adjustment of scores (up to 10 points): Based on class performance, learning attitude, etc. (Scores will not be adjusted for personal reasons). (Please note that the teacher will not respond to messages or emails requesting for score adjustments at the end of the semester. I appreciate your understanding!)

Notes (in class):

• • 上課以「互相尊重、有禮貌」為最高原則，有事請儘早告知老師。
  • The highest principle in class is “mutual respect”, and students have the obligation to “inform the teacher” accordingly.
  • 上課進行中，請勿聊天嘻笑、請勿竊竊私語、請勿使用手機/平板/筆電發出聲音、請勿配戴耳機。(非常重要)
  • You can use smart devices (phone/tablet/notebook) during the class without noise.
  • 請假請依照學校規定之程序辦理。(皆需有証明文件)。
  • The regulations regarding absences and truancy will be handled according to the school rules.

Notes (exams):

• All four exams will be held during regular class hours (14:10~15:50). Make-up exams are not allowed without a special reason. (Please report any special reasons in advance; if the teacher approves the make-up exam, it should be arranged with the TA within one week). Only one make-up exam is allowed. There is no make-up exam for the R programming bonus test.
• The calculation method for make-up exam scores is: (original score – 60) x 0.7 + 60. For example, if the original score of the make-up exam is 80 points, then the make-up exam score is (80 – 60) x 0.7 + 60 = 74 points. If the original score of the make-up exam is less than 60 points, the original score will be used.
• The exam questions will be in English. The type of questions for each exam are: 4 multiple-choice questions (4 x 5 points), 4 fill-in-the-blank questions (4 x 5 points), 2 short answer questions (2 x 10 points), and 2 calculation questions (2 x 20 points). [NEED MODIFICATION!]
• A score greater than 100 points will be recorded as 100 points, and then multiplied by the percentage corresponding to the score.
• Students caught cheating during the exam will not have any of their current and future exam papers and assignments graded by the teacher. In severe cases, the matter will be reported to the school for further action.
• If you have any questions about your grades, please contact the teacher within one week after the grades are announced.