Outline of lecture

This lecture is given to provide common statistical skills to analyze and interpret data sets obtained in environmental science and management. Main topics are probability, hypothesis testing, multivariate analysis, time series analysis, and risk assessment. Students are required to work on exercises to acquire substantial understanding both in theory and application.

Purpose of lecture

This lecture is given to provide common statistical skills to analyze and interpret data sets obtained in environmental science and management. Main topics are probability, hypothesis testing, multivariate analysis, time series analysis, and risk assessment.

Plan of lecture

Major contents of this lecture
1. Hypothesis and sampling design
2. Probability distribution
3. Hypothesis test
4. Simple regression analysis
5. Multiple regression analysis
6. Data transformation
7. Analysis of variance (1)
8. Analysis of variance (2)
9. Multivariate exploratory technique (1)
10. Multivariate exploratory technique (2)
11. Multivariate exploratory technique (3)
12. Nonparametric analysis
13. Time series analysis
14. Monte-Carlo method

Students are required to work on exercises to promote theoretical and practical understanding.

Textbook and reference

Reference
Modern Statistics for the Life Science, 2002, A. Grafen and R. Hails, Oxford University Press
Biostatistical Analysis, 1999, J. H. Zar, Prentice Hall
Multivariate Statistics for the Environmental Sciences, 2003, P. J. A. Shaw, Hodder Arnold
Environmental and Ecological Statistics with R, 2010, S. S. Quin, CRC Press

Related and/or prerequisite courses

Aquatic Environmental Statistics

Evaluation

Exercise 70%
Discussion 30%
Students are required to attend more than 9 times out of 14 lectures.