統計學 (一): 度教師自評: 甜度: ★★★✩✩ | 涼度: ★★✩✩✩
第一週上課,老師會說明個人教學理念、授課風格及本課程設計安排,若自覺得不合適不喜歡不想配合或這們課無法達到您的預期或有不得已的苦衷(請告知),請勿選修或請期中棄修,感謝~感恩!! 這裡有教師【歷年教學意見調查】及【政大課程評價網】供您選課參考,也可至【迪卡搜尋漢銘】。

Subject:Statistics (I)  [112 (1): 2023/09~2024/01] (English)

Lecturer: Han-MIng Wu (Department of Statistics,  Associate Professor), Office: College of Commerce 261103,  ext: 81103。

Office Hour 一/13:00~15:00E-mail: wuhm@g.nccu.edu.tw

Course ID: 000359221。Required/Selective: required。Credit:3 。Time/Place:  Thu D56, 研究250105 (Seats 85) 商館260306

TA Class:

  • Students who have a schedule conflict with the TA class cannot enroll. (School's policy)
  • Date/Time: Tue 78,Place: 學思 040101學思 040104。(once/week, or biweekly depend on TA)
  • Free to join TA class, no roll call.
  • TA 1: Master Student of Dep. of Statistics, Che-Wei Lin (林哲緯) (email, FB)(Office hours: Wed. 14:00~15:00, at 9th floor, College of Commerce (每星期三下午2:00-3:00在商院九樓討論區))。
    TA 2: Master Student of Dep. of Statistics, Song-Xian Liu (劉松憲) (email, FB)(Office hours: TBA)。
  • TA's Teaching Material: the link will be announced in Class FB.。
  • Duties: TA1: 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. 
    TA 2: proctoring exams, correcting the exam paper and grading.

 

Announcement


 

    • [2024/01/17] Final Exam Question Sheet, Solution Sheet.
    • [2024/01/11] Final exam R bonus test (期末考R程式加分考),Download the R bonus test sheet 下載考卷(壓縮檔),或Or browsing here 按我瀏覽
    • [2024/01/11] New final exam seating (期末考座位表)。(Will be announced at 13:00, 考前10分鐘公告)
    • [2024/01/11] Some notes for today's final exam: 1, 2, 3, 4
    • [2024/01/04] The updated R source code for the examples in Chapter02-09.
    • [2023/12/28] Final Exam: Scope : Chap5.4-Chap9.2。Date: 2024/01/11 (Thu)。Place: 商館260306。
      Paper Test: 13:10~14:50 (100 minutes) Bring your calculator (with log/exp fucntions). Note that the "Smart Phone, Laptop, Tablet" are not allowed during the exam. Close book.。[依期末考試座位表入坐 (New Seating Chart), will be announced 10 minutes before the exam]
      Bonus Test for R programming (Open Book, Free to Join):15:00~16:00 (60 minutes)(Need Laptop or Tablet,note that the capability of the battery should be sufficient "需帶筆電應考。如果需要請自行攜帶延長線)(其它細節和期中考一樣; The details are the same as the midterm-exam)。
    • [2023/12/28] Demonstration using R (II) in English will be held on 2024/01/04 (Thu) 13:10~16:00 Online. Click here to join (MS Teams)。(The video In Chinese has been provided, see the link on our course FB group)
    • [2023/12/28] 請同學上網填寫「期末教學意見問卷」,期間112年12月18日(一) ~ 113年1月7日(日)。
      請同學務必上網填寫建設性的意見(不管是正評、負評),讓本課程更好。請儘量具體舉出本課程的優點、缺點、值得保持的地方及可以改善的地方,感謝~感恩。方式: 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。[若已填答請回報(需登入gmail at NCCU),有加分。]
      End-of-Semester Course Evaluation Survey! Click here: https://moltke.nccu.edu.tw/SSO/startApplication?name=inccustucmt
      Students are requested to fill out the "End-of-Semester Course Evaluation Survey" online during the period from December 18th, 2023 to January 7th, 2024. Students must provide constructive feedback online (whether positive or negative) to improve this course. Please specifically mention the strengths and weaknesses of this course, aspects worth maintaining, and areas for improvement. Thank you and much appreciated. [If you have already responded, please report back (login gmail at NCCU) to get extra points.]
    • [2023/12/28] Quiz (2) Question Sheet, Solution Sheet.
    • [2023/12/07] Quiz (2), Time: 12/21(Thu), 15:00~16:00,Scope: chap5.3 ~ chap7.4。Place: 商館260306。[Exam seating]
      Bring your calculator (with log/exp fucntions). Note that the "Smart Phone, Laptop, Tablet" are not allowed during the quiz. Close book.
      (備註: (a)可帶普通或工程用計算機,可計算log/exp,不可用手機或具程式功能之計算機,(b)請照期中考座位表入座,(c)可使用鉛筆/原子筆作答,(d)需以英文作答。)(當天 13:10~14:50 要上正課)
    • [2023/12/07] 校方「期中教學意見調查」結果及教師回應。[Midterm Evaluation of Teaching]
    • [2023/12/07] The solution for the 1st R bonus test. [The scored student's answer sheet has been uploaded to the link of the TA's Teaching Material]
    • [2023/11/19] Midterm Exam Question Sheet, Solution Sheet.
    • [2023/11/09] Midterm exam R bonus test (期中考R程式加分考),Download the R bonus test sheet 下載考卷(壓縮檔),或Or browsing here 按我瀏覽
    • [2023/11/09] Midterm exam seating (期中考座位表)。(Will be announced at 13:00, 考前10分鐘公告)
    • [2023/10/29] Notes for the Midterm Exam of Statistics (I), Bonus Test, R Programming (containing "How to Write/Upload the Answer Sheet?")
    • [2023/10/29] Quiz (1) Question Sheet, Solution Sheet. [Students' feedback and Teacher's responses]
    • [2023/10/28] 112學年度第1學期各開課科目「期中教學意見調查」作業將自10月30日(週一)起展開調查,持續至11月5日(週日)止,敬請轉知同學踴躍填答。
      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。
      The "Midterm Teaching Feedback Survey" will commence on October 30th (Monday) and continue until November 5th (Sunday). Students are kindly requested to actively participate and fill out the survey. Please log in to iNCCU.
    • [2023/10/26] Mid-term Exam: Scope : Chap1-Chap5.3。Date: 11/09 (Thu)。Place: 商館260306。
      Paper Test: 13:10~14:50 (100 minutes) Bring your calculator (with log/exp fucntions). Note that the "Smart Phone, Laptop, Tablet" are not allowed during the exam. Close book.。[依考試座位表入坐 (Seating Chart Here), will be announced 10 minutes before the exam]
      Bonus Test for R programming (Open Book, Free to Join):15:00~16:00 (60 minutes)(Need Laptop or Tablet,note that the capability of the battery should be sufficient "需帶筆電應考。如果需要請自行攜帶延長線)。
      程式加分考上傳答案卷方法 (Chinese version):
      • 上傳網址:「 http://ftp.hmwu.idv.tw:8080/login.html?lang=tchinese 」或老師教學網站首頁,點選【作業考試上傳區
      • 登入帳號(account): stat112。密碼(password): xxxx (不是4個x,於FB群組公告)
      • 登入後有「上傳測試用資料夾」,可試試上傳WORD文件,看能否成功。
      • 請上傳答案卷,檔名:「學號-姓名-Stat-Midterm.docx」(學號及姓名,改成自己的)
      • 若上傳檔案格式錯誤,內容亂碼,空檔等等問題。請自行負責。
      • 如果上傳網站出現空白頁,請將滑鼠移至「網址列」後,按「Enter」即可。若再不行,請換其它瀏覽器(IE/Edge/Firefox/Chrome)。
      • 有問題者,請FB私訊老師。
    • How to upload the Bonus answer sheet (English version):
      • Upload URL: 「 http://ftp.hmwu.idv.tw:8080/login.html?lang=tchinese 」 or go to the teacher's teaching website homepage and click on the "Assignment and Exam Upload Section 【作業考試上傳區】".
      • Login account: stat112. Password: xxxx (not literally 4 x's, announced in the FB group).
      • After logging in, there's a "Test Upload Folder 「上傳測試用資料夾」". You can try uploading a WORD document to see if it's successful.
      • Please upload your answer sheet with the filename: "StudentID-Name-Stat-Midterm.docx" (Replace 'StudentID' and 'Name' with your own).
      • If there are issues with the uploaded file format, such as garbled content empty files, etc., you are responsible.
      • If the upload site shows a blank page, move your cursor to the "address bar" of the browser and press "Enter". If it still doesn't work, try using another browser (IE/Edge/Firefox/Chrome).
      • If you have any questions, please send a private message to the teacher on FB.
  • [2023/10/19] How difficult do you think Quiz(1) is? Quiz (1) Feedback Form, survey time period: 2023/10/19~2023/10/26. [Teacher's responses]  [Text]
  • [2023/10/15] Students' suggestions for the TA Class (part-1).
  • [2023/10/15] Demonstration using R (I) in English will be held on 11/02 (Thu) 13:10~16:00 Online. Click here to join (MS Teams)。(The video In Chinese has been provided, see the link on our course FB group)
  • [2023/10/12] Quiz (1), Time: 10/19(Thu), 15:00~16:00,Scope: chap1 ~ chap3。Place: 商館260306。
    Bring your calculator (with log/exp fucntions). Note that the "Smart Phone, Laptop, Tablet" are not allowed during the quiz. Close book.
    (備註: (a)可帶普通或工程用計算機,可計算log/exp,不可用手機或具程式功能之計算機,(b)小考不指定座位,請提早入座,(c)可使用鉛筆/原子筆作答,(d)需以英文作答。)(當天 13:10~14:50 要上正課)
  • [2023/10/04] TA Class Feedback Form, TA: Che-Wei Lin。Survey time period: 2023/10/04~2023/10/14。(僅限國立政治大學及其信任機構中的使用者。Please use your NCCU google account to login.)
  • [2023/09/30] The past (111-1 semester) class videos in Chinese are available. The link can be found in our course Facebook group.
  • [2023/09/28] A second TA will be assigned to our course, who will be responsible for correcting the exam paper and grading only. Song-Xian Liu (劉松憲) (email)
  • [2023/09/22] The R source code for the examples in Chapter02-09.  [Please refer to our course FB group for the video (in Chinese).]
  • [2023/09/18] TA Class:  Tue 78,Place:學思 040104  (TA1: Che-Wei Lin)學思 040101 (TA2: TBA)
  • [2023/09/17] Since 9/21(Thu.), the classroom will be moved to 商館260306教室(102人).
  • [2023/09/13] The class videos will be released after class for students to review. The link will be announced on the course's FB.
  • [2023/09/05] 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.)
  • [2023/09/05] The dataset used in this textbook.
  • [2023/09/05] There are parts of solutions of selected exercises of each chapter posted on the Teaching Material Link of TA.
  • [2023/09/03] 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.)
  • [2023/09/05] (!! Important !!) Please, students taking the course, join the private Facebook group for the course.:「112-1-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 message or email to the TA or teacher.
  • [2023/09/03] 校訂教學計畫表。Please adhere to the following "Teaching Content and Schedule". Modifications will be made at any time based on the actual progress of the teaching.
  • [2023/09/03] 【統計學整合開課】Course selection instructions: Please refer to the school's regulations.。

 

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)." 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.) (The course is taught in English)

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 & Requirements) (Subject to modifications at any time based on the actual progress of the teaching.)

Week MM/DD Topic

Note

1 09/14 Course Introduction、Ch1: Data and Statistics  
2 09/21 
Ch2: Descriptive Statistics: Tabular and Graphical Displays, Ch3: Descriptive Statistics: Numerical Measures  
3 09/28 Ch4: Introduction to Probability
4 10/05 Ch4: Introduction to Probability
5 10/12
Ch5: Discrete Probability Distributions
6 10/19
Ch5: Discrete Probability Distributions quiz (1): ch01~03
7 10/26 Ch6: Continuous Probability Distributions  
8 11/02 Demonstration using R (I) (Online, MS Teams) [16+2教學規劃: Online Learning]
9 11/09

MIdterm exam

Midterm exam

10 11/16

Ch6: Continuous Probability Distributions

11 11/23

Ch7: Sampling and Sampling Distributions

 
12 11/30 Ch7: Sampling and Sampling Distributions  
13 12/07 Ch8: Interval Estimation  
14 12/14 Ch9: Hypothesis Tests
15 12/21
Ch9: Hypothesis Tests quiz (2)
16 12/28 (Optional) Ch10: Inference about Means and Proportions with Two Populations  
17 01/04

Demonstration using R (II) (Online, MS Teams)

[16+2教學規劃: Online Learning]
18 01/11
Final exam
Final exam

Textbook: Anderson et al., 2019, Statistics for Business & Economics (14th Edition), Cengage Learning Ltd. (ISBN: 0357114485). [滄海圖書代理]/【巨流政大書城

Anderson et al., 2019, Statistics for Business & Economics (14th Edition), Cengage Learning Ltd. (ISBN: 0357114485).

 

Evaluation Criteria:(Adjustments to the grading distribution require the agreement of the majority of the students in the class.)

  • Quiz:30 % (Two times)。
  • 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 class 0%
  • Extra: R quiz (20%,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)

  • The regulations regarding absences and truancy will be handled according to the school rules.
  • The highest principle in class is "mutual respect", and students have the obligation to "inform the teacher" accordingly.

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).
  • 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.