課程資訊
課程名稱
統計學
Statistics 
開課學期
111-2 
授課對象
生物統計學程  
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
選修 
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.

CRAN

CRAN
 

DirectPoll

DirectPoll
 

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.
 
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.
 
預期每週課後學習時數
 
Office Hours
另約時間 
指定閱讀
 
參考書目
 
評量方式
(僅供參考)
   
課程進度
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