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Statistical Data Analysis

This page contains information on the course "Statistical Data Analysis", which is offered as an elective course in Graduate School of Global Food Resources.

Lecturer

Schedule

  • All lectures will be given at Seminar Room F317
DateContentsBook chapter(s)
Apr. 10Installation of and basic operations in R1 and 2
Apr. 17Probability and distributions/Descriptive statistics and graphics3 and 4
Apr. 24Descriptive statistics and graphics (continued)4
May 8Regression and correlation6

Course Outline

  • This course covers introductory statistical methods that are essential for data analysis in the study of global fod resources. It also deals with basics of the free statistical environment R and with elementary programing skills in conducting actual analyses in R. Various analytic methods are used in the study of global food resources. Example includes analysis of survey data, econometric analysis of supply and demand, and inference on abundance of marine resources. Topics covered in this course serve as fundamental subjects necessary for understanding and applying advanced analytic methods.

Textbook

  • Dalgaard (2008) Introductory Statistics with R, 2nd edn., Springer.
    • the e-book version is available here (internal access only).

Reading Materials

  • Casella and Berger (2001) Statistical Inference, 2nd edn. Duxbury.

Homework Assignments

  • Announced during the lectures.

Remarks


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Last-modified: 2017-04-24 (月) 17:56:40 (1860d)