The course is conducted in English。

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.

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.

• 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%.

2-5 hours per week