Course Information
Course title
 Statistics 
Semester
 112-2 
Designated for
 DEPARTMENT OF AGRONOMY  
Instructor
 STEVEN HUNG-HSI WU 
Curriculum Number
 Agron2002 
Curriculum Identity Number
 601E20020 
Class
 03 
Credits
 3.0 
Full/Half
Yr.
 Half 
Required/
Elective
 Required 
Time
 Monday 7,8,9(14:20~17:20) 
Remarks
 The upper limit of the number of students: 40.
The upper limit of the number of non-majors: 10. 
  
Course introduction video
 
Table of Core Capabilities and Curriculum Planning
 Table of Core Capabilities and Curriculum Planning
Course Syllabus
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Course Description

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.



 

Course Objective
 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.
 
Course Requirement
  • This course will be conducted in English. All lectures, course materials, and assignments will be presented and conducted in English.
  • 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 official leave through the university procedure will receive 0% and will NOT be able to re-sit the exam.
  • Late assignments will receive 0%.
 
Student Workload (expected study time outside of class per week)
 2-5 hours per week 
Office Hours
  
Designated reading
  
References
  
Grading
    
Progress
Week
Date
Topic
Week 01
 Feb/19  Introduction (no lab this week) 
Week 02
 Feb/26  Descriptive statistics 
Week 03
 Mar/04  Basic Probability 
Week 04
 Mar/11  Discrete random variables 
Week 05
 Mar/18  Continuous random variables and normal distribution 
Week 06
 Mar/25  Sampling distribution and point estimation 
Week 07
 Apr/01  Interval estimation and point estimation (I) 
Week 08
 Apr/08  Interval estimation and point estimation (II) 
Week 09
 Apr/15  Midterm exam 
Week 10
 Apr/22  Hypothesis testing (I) 
Week 11
 Apr/29  Hypothesis testing (II) 
Week 12
 May/06  Analysis of Variance (I) 
Week 13
 May/13  Analysis of Variance (II) 
Week 14
 May/20  Correlation and linear regression 
Week 15
 May/27  Chi-square test for categorical data 
Week 16
 Jun/3  Final exam