課程名稱 |
統計學下 STATISTICS |
開課學期 |
96-2 |
授課對象 |
神經生物與認知科學學程 |
授課教師 |
關秉宗 |
課號 |
Forest2003 |
課程識別碼 |
605 20012 |
班次 |
02 |
學分 |
3 |
全/半年 |
全年 |
必/選修 |
必修 |
上課時間 |
星期四2,3,4(9:10~12:10) |
上課地點 |
林五 |
備註 |
全系必修,學生在2班中任選1班 總人數上限:35人 外系人數限制:5人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/962btguanstat |
課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
課程大綱
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課程概述 |
課程內容:
Review of Sampling Distribution (1 Week)
Review of Hypothesis Testing (1 Week)
Introduction to Linear Model (2 Weeks)
Introduction to Analysis of Variance (ANOVA) (2 Weeks)
One-way ANOVA and CRD (2 Weeks)
Two-way ANOVA and RCB (2 Weeks)
Simple Linear Regression and Correlation (2 Weeks)
Multi-way ANOVA and Factorial (2 Weeks)
Review and Concluding Remarks |
課程目標 |
本課程之主要目標乃在教授大學部同學基本之統計觀念,使其能對統計有基本之認識,進而能正確的運用統計方法解決問題 |
課程要求 |
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預期每週課後學習時數 |
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Office Hours |
每週四 14:00~15:00 |
指定閱讀 |
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參考書目 |
Textbook:
Freund, J.E. and B. M. Perles. 2007. Modern Elementary Statistics. 12th ed.
Prentice-Hall.
Reference Book and Files:
Sokal, R., and F. J., Rohlf. 1981. Biometry: The principles and practice of
statistics in biological research. 2nd Ed. W. H. Freeman and Company, San
Francisco, CA.
W. N. Venables, D. M. Smith, and the R Development Core Team. 2006. An
Introduction to R (Free PDF file)
Paradis, E. 2002. R for Beginners (Free PDF File) |
評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
作業 |
40% |
Each homework has to be turned in on time; no excuse. |
2. |
隨堂測驗 |
10% |
No make-up tests for quizzes, midterm, and the final; if you do not show up for a test, you get 0 for that test. |
3. |
期中考 |
20% |
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4. |
期末考 |
30% |
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週次 |
日期 |
單元主題 |
第1週 |
2/21 |
Review of Sampling Distributions, Confidence Interval |
第2週 |
2/28 |
2-28 Memorial Day (No Class) |
第3週 |
3/06 |
Introduction to R (自動化中心) |
第4週 |
3/13 |
Introduction to Analysis of Variance (ANOVA) |
第5週 |
3/20 |
R Graphics and Descriptive Statistics (自動化中心) |
第6週 |
3/27 |
One-way ANOVA and Multiple Comparisons (Cont.) |
第7週 |
4/03 |
t-test and ANOVA with R (自動化中心) |
第8週 |
4/10 |
Two-way ANOVA and RCB |
第9週 |
4/17 |
Mid-term Examine |
第10週 |
4/24 |
Two-way ANOVA and RCB (Cont.) |
第11週 |
5/01 |
Two-way ANOVA with R (自動化中心) |
第12週 |
5/08 |
Simple Linear Regression and Correlation |
第13週 |
5/15 |
ANOVA and Linear regression |
第14週 |
5/22 |
Linear model with R (自動化中心) |
第15週 |
5/29 |
Nonparametric Statistics and Categorical Data Analysis |
第16週 |
6/05 |
NS and CDA with R (自動化中心) |
第17週 |
6/12 |
Review: ANOVA and Regression |
第18週 |
6/19 |
Final Examine (自動化中心) |
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