查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

112-2 327282 統計學(二)實習 1 1.0 2 ▲ 朴維鎮工管二甲 46 0 計中電腦教室

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
112-2	327282	統計學(二)實習	1	1.0	2	▲	朴維鎮	工管二甲	46	0	計中電腦教室

教學大綱與進度：

教師姓名朴維鎮　教師諮商時間(Office Hours)

Email eugenepark993@gmail.com

最後更新時間 2023-12-26 20:29:16

課程大綱本課程之目的在訓練學生，使學生熟悉經常使用之統計方法與理論，能利用已知之資料整理、分析未知之現象，打好修習其他相關學科之基礎。課程內容包括：機率理論、推定、假設檢定、迴歸分析、變異數分析等。 The purpose of this course is to train the students who can be familiar with the statistics approaches and theories. Besides, they will be able to employ the collected data to analyze the unknown environments. The main focus of the class will be on statistical analysis and graphics in Minitab. Students will cover basic statistical concepts and various statistical methods such as estimation, hypothesis tests, regression analysis, and ANOVA.

課程進度 Week 1 Introduction to statistics, data Summary, and presentation Week 2 Probability, Bayesian theorem, correlation Week 3 Decision making for a single sample – Estimation, hypothesis testing Week 4 Decision making for a single sample – Inference on the mean of a population Week 5 Decision making for a single sample – Inference on the variance of a normal population Week 6 Decision making for a single sample – Inference on a population proportion Week 7 Decision making for a single sample – Goodness of fit test Week 8 Quiz, independent Study Week 9 Midterm exam (In-class, 1 Cheat Sheet, Calculator) Week 10 Decision making for two samples – Inference on the means of two populations (Part I) Week 11 Decision making for two samples – Inference on the means of two populations (Part II) Week 12 Decision making for two samples – Paired t-test, inference on the ratio of variances of two normal populations Week 13 Decision making for two samples – Inference on two population proportions Week 14 Building Empirical Models – Simple Linear Regression (Part I) Week 15 Building Empirical Models – Simple Linear Regression (Part II) Week 16 Building Empirical Models – Simple Linear Regression (Part III) Week 17 Quiz, independent Study Week 18 Final exam (In-Class, 1 Cheat sheet, Calculator)

評量方式與標準 1. Midterm Exam: 20 % 2. Final Exam: 30 % 3. Team project: 20 % 4. Individual homework: 20 % 5. Attendance: 10 %

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Engineering Statistics (5th Ed., Wiley) by Montgomery, Runger, and Hubele (ISBN: 978-0-324-59433-1)

課程諮詢管道 Email or i-school system.
Office hour: Thursday 11:00 ~ 12:00

課程對應SDGs指標

備註
Email and MS Teams

教師姓名	朴維鎮　教師諮商時間(Office Hours)
Email	eugenepark993@gmail.com
最後更新時間	2023-12-26 20:29:16
課程大綱	本課程之目的在訓練學生，使學生熟悉經常使用之統計方法與理論，能利用已知之資料整理、分析未知之現象，打好修習其他相關學科之基礎。課程內容包括：機率理論、推定、假設檢定、迴歸分析、變異數分析等。 The purpose of this course is to train the students who can be familiar with the statistics approaches and theories. Besides, they will be able to employ the collected data to analyze the unknown environments. The main focus of the class will be on statistical analysis and graphics in Minitab. Students will cover basic statistical concepts and various statistical methods such as estimation, hypothesis tests, regression analysis, and ANOVA.
課程進度	Week 1 Introduction to statistics, data Summary, and presentation Week 2 Probability, Bayesian theorem, correlation Week 3 Decision making for a single sample – Estimation, hypothesis testing Week 4 Decision making for a single sample – Inference on the mean of a population Week 5 Decision making for a single sample – Inference on the variance of a normal population Week 6 Decision making for a single sample – Inference on a population proportion Week 7 Decision making for a single sample – Goodness of fit test Week 8 Quiz, independent Study Week 9 Midterm exam (In-class, 1 Cheat Sheet, Calculator) Week 10 Decision making for two samples – Inference on the means of two populations (Part I) Week 11 Decision making for two samples – Inference on the means of two populations (Part II) Week 12 Decision making for two samples – Paired t-test, inference on the ratio of variances of two normal populations Week 13 Decision making for two samples – Inference on two population proportions Week 14 Building Empirical Models – Simple Linear Regression (Part I) Week 15 Building Empirical Models – Simple Linear Regression (Part II) Week 16 Building Empirical Models – Simple Linear Regression (Part III) Week 17 Quiz, independent Study Week 18 Final exam (In-Class, 1 Cheat sheet, Calculator)
評量方式與標準	1. Midterm Exam: 20 % 2. Final Exam: 30 % 3. Team project: 20 % 4. Individual homework: 20 % 5. Attendance: 10 %
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Engineering Statistics (5th Ed., Wiley) by Montgomery, Runger, and Hubele (ISBN: 978-0-324-59433-1)
課程諮詢管道	Email or i-school system. Office hour: Thursday 11:00 ~ 12:00
課程對應SDGs指標
備註	Email and MS Teams