課程名稱 |
統計學 Statistics |
開課學期 |
111-2 |
授課對象 |
農藝學系 |
授課教師 |
吳泓熹 |
課號 |
Agron2002 |
課程識別碼 |
601E20020 |
班次 |
03 |
學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
必修 |
上課時間 |
星期一7,8,9(14:20~17:20) |
上課地點 |
綜201 |
備註 |
本課程以英語授課。英文授課,建議僑生或外籍生修課. 星期一第6節在博雅408,409實習. 總人數上限:40人 外系人數限制:10人 |
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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 course introduces the fundamental statistical concepts, methods and their applications to biology and agriculture.
Topics will include descriptive statistics, basic probability, discrete and continuous distribution, sampling distribution, point estimation, confidence intervals, hypothesis testing, one-way analysis of variance, correlation, linear regression analysis, and chi-square test.
Lab Description:
Lab sessions will be held on Monday period 6 (13:20 ~ 14:10). Lab will provide hands-on experience with the statistical software R. Students will learn how to perform statistical analysis and interpret its outputs.
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課程目標 |
On successful completion of this course, students will be able to:
- Use descriptive statistics and graphs to summarise and present data.
- Understand the basic concepts of probability.
- Apply discrete and continuous probability distributions to a wide range of scenarios.
- Perform hypothesis testing and calculate the confidence interval.
- Perfrom the correct statistical analysis and interpret the results..
- Use statistical software R to perform analysis and interpret results.
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課程要求 |
- This course is taught in English. All materials are available in English only.
- Cheating and plagiarism in assignments, exams or any other assessments are serious academic misconduct. All instances will be handled according to the university policy.
- Absent from the mid-term and final exam without applying for leave through the university procedure will receive 0% and will not be able to re-sit the test.
- Late assignments will receive 0%.
- Each time you miss a roll call, 1% of the total mark will be deducted.
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
指定閱讀 |
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參考書目 |
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評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
Week 1 |
Feb/20 |
Introduction |
Week 2 |
Feb/27 |
Holiday |
Week 3 |
Mar/06 |
Descriptive statistics |
Week 4 |
Mar/13 |
Basic probability |
Week 5 |
Mar/20 |
Discrete random variables |
Week 6 |
Mar/27 |
Continuous random variables and sampling distribution |
Week 7 |
Apr/03 |
Holiday |
Week 8 |
Apr/10 |
Interval estimation and point estimation |
Week 9 |
Apr/17 |
Midterm exam |
Week 10 |
Apr/24 |
Hypothesis testing (I) |
Week 11 |
May/01 |
Hypothesis testing (II) |
Week 12 |
May/08 |
Hypothesis testing (III) |
Week 13 |
May/15 |
Analysis of Variance |
Week 14 |
May/22 |
Correlation and simple linear regression |
Week 15 |
May/29 |
Chi-square test for categorical data |
Week 16 |
Jun/05 |
Final exam |
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