課程名稱 |
統計學一下 STATISTICS (I)(2) |
開課學期 |
95-2 |
授課對象 |
會計學系 |
授課教師 |
陳郁蕙 |
課號 |
Acc2008 |
課程識別碼 |
702 20112 |
班次 |
01 |
學分 |
3 |
全/半年 |
全年 |
必/選修 |
必帶 |
上課時間 |
星期二5,6,7(12:20~15:10) |
上課地點 |
管貳103 |
備註 |
限本系所學生(含輔系、雙修生) 且 限學號單號 總人數上限:90人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/952stat_1 |
課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
This is a two-semester introductory undergraduate business statistics course.
In fall semester, the course will cover (1) Introduction; (2) Organizing Data;
(3) Numerical Descriptive Techniques; (4) Probability; (5) Discrete Random
Variables & Their Probability Distributions; (6) Continuous Random Variables &
Their Probability Distributions; (7) Sampling Distribution; (8) Estimation of
the Mean and Proportion; and (9) Hypothesis Tests about the Mean and
Proportion. The topics that will be taught in spring semester include: (1)
Estimation and Hypothesis Testing: Two populations; (2) Chi-Squares Tests; (3)
Analysis of Variance, (4) Non-parametric Methods; (5)Simple Regression; (6)
Multiple Regression; (7) Index Number; and (8) Time Series Analysis. |
課程目標 |
使同學對統計學有初步之認識。 |
課程要求 |
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預期每週課後學習時數 |
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Office Hours |
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參考書目 |
Textbook
Black, Ken, Business Statistics, 4th edition update, Wiley Company, 2006.
References
Bereson, Levine, and Krehbiel, Business Statistics: Concepts and Application,
9th edition, Prentice Hall International, Inc, 2003.
Mann, P.S., Statistics for Business and Economics, John Wiely & Sons, New
York, U.S.A, 1995.
Mason, R., D. Lind, and W. Marchal, Statistical Techniques in Business and
Economics, 11th edition, McGraw Hill Company, 2004. |
指定閱讀 |
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評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
期末考 |
40% |
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2. |
期中考 |
40% |
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3. |
作業與平時成績 |
20% |
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週次 |
日期 |
單元主題 |
第1週 |
02/27 |
Estimation and Hypothesis Testing: Two populations |
第2週 |
03/06 |
Estimation and Hypothesis Testing: Two populations |
第3週 |
03/13 |
Chi-Squares Tests |
第4週 |
03/20 |
Chi-Squares Tests |
第5週 |
03/27 |
Analysis of Variance |
第6週 |
04/03 |
Non-parametric Methods |
第7週 |
04/10 |
Non-parametric Methods |
第8週 |
04/17 |
Mid-term Exam |
第9週 |
04/24 |
Simple Regression |
第10週 |
05/01 |
Simple Regression |
第11週 |
05/08 |
Multiple Regression |
第12週 |
05/15 |
Multiple Regression |
第13週 |
05/22 |
Multiple Regression |
第14週 |
05/29 |
Index Number |
第15週 |
06/05 |
Index Number |
第16週 |
06/12 |
Time Series Analysis |
第17週 |
06/19 |
Time Series Analysis |
第18週 |
06/26 |
Final Exam |
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