[[講義関連情報]]に戻る

* Statistical Data Analysis [#l957e237]
This page contains information on the course "[[Statistical Data Analysis:http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylDetail.aspx?langMode=2]]", which is offered as an elective course in [[Graduate School of Global Food Resources:http://www.gfr.hokudai.ac.jp/]].

* Lecturer [#if50bc0b]
- [[Tomoaki Nakatani:http://www.gfr.hokudai.ac.jp/staff/governance/tomoaki-nakatani/]]

* Schedule [#x42b3564]
- All lectures will be given at Seminar Room F317

| Date    | Contents | Book chapter(s) |h
| Apr. 10 | [[Installation of and basic operations in R>講義関連情報/Statistical Data Analysis, 2017/Apr10]]  | 1 and 2 |
| Apr. 17 | Probability and distributions/Descriptive statistics and graphics |   3 and 4|
| Apr. 24 | Descriptive statistics and graphics (continued) | 4 |
| May  8  |  |  |

* Course Outline [#nad5c06b]
- 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 [#ze0117d5]
- Dalgaard (2008) Introductory Statistics with R, 2nd edn., Springer.
-- the e-book version is available [[here:http://jg8gn6xr5x.search.serialssolutions.com/?isbn=9780387790534]] (internal access only). 

* Reading Materials [#i97b3c0d]
- To be announced.
 
* Homework Assignments [#r55526b3]
- To be announced.
 
* Remarks [#q4b1be11]
- 
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