Course Information
Course title
 Statistics 
Semester
 111-2 
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.

CRAN

CRAN 		 

DirectPoll

DirectPoll
 

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 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.
 
Student Workload (expected study time outside of class per week)
  
Office Hours
 Appointment required. 
Designated reading
  
References
  
Grading
    
Progress
Week
Date
Topic
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