This is the home page for Basic Data Analysis for the Master Programs in Management and Policy Planning.
Please, please, please let me know at my personal address (not at "homework at turnbull") if there are any problems with any materials or links posted here.
Last update: Mon Jun 28 08:38:46 2010
Thu Jun 24 11:41:14 2010
Thu Jun 24 03:05:11 2010
Wed Jun 23 23:59:54 2010
Fri Jun 18 10:41:13 2010
Thu Jun 17 20:14:35 2010
Thu Jun 17 03:09:00 2010
Thu Jun 3 01:16:52 2010
Mon May 31 13:12:47 2010
Tue May 25 14:06:59 2010
Questions from last year's midterm examination and questions from last year's final examination have been posted. Answers and the additional document got lost somehow and will be reposted later.
Please report such problems to my personal address (not "homework") as soon as you notice them, unless they are noted here! If I know about them but can't fix them immediately, I will post here -- if there's a problem not mentioned here in the News, I don't know about it and would appreciate a report.
Note that the individual datasets for the midterm examination are all included in the document. For the final I made them a separate document.
Thu May 20 04:09:14 2010
Mon May 17 18:56:41 2010
Thu May 13 03:00:25 2010
Thu May 13 01:04:34 2010
Thu May 6 16:16:57 2010
Older news has been moved to Previous updates.
This is a first course in data analysis for master's students in management and policy studies. This is not a technical course in statistics; for that, take (e.g.) Professor Kanazawa's course. The focus is on (1) understanding the relationship between behavior of decision-makers and the statistics we collect about their behavior, and (2) using those statistics to make inferences about motivation and predictions of future behavior.
Students passing this course are expected to be able to collect data, generate distributions of data values, and compute certain simple statistics from that data. For more complex computations, computers will be used for the analysis, including regression analysis and hypothesis testing. Interpretation of the results is emphasized, not their calculation.
See Links to Lecture Notes and Links to Homework Assignments for schedule information.
Stephen Turnbull, Associate Professor | ||
---|---|---|
Graduate School of Systems and Information Engineering | ||
Room | Phone | |
Office | 3F1234 | 853-5091 |
turnbull@sk.tsukuba.ac.jp | ||
Home Page | http://turnbull.sk.tsukuba.ac.jp/ | |
Schedule | Office hours: Tu Th 5th period at 3F1234, or by appt. Graduate students are welcome to drop in any time, but I reserve the right to say "not now" outside of scheduled office hours. See my schedule page for more information about where to find me when. |
経営政策プログラム / Business Administration and Public Policy | |
---|---|
データ解析基礎 / Basic Data Analysis | |
Catalog No. | 01CD103 |
Day/Time | Thursday, 3rd & 4th (12:15--15:00) |
Room | 8A108 |
Home Page | http://turnbull.sk.tsukuba.ac.jp/Teach/DataAnalysis/ |
mailto:turnbull@sk.tsukuba.ac.jp | |
Textbook | Freedman, Pisani & Purves, Statistics (4th ed.) Hardback, special order, at Maruzen, near University Hall. (Maruzen won't stock foreign books any more.) Hardback, new, at Amazon Japan. Paperback, new, at Amazon Japan. Hardback, new, at Amazon (US) (about shipping). Paperback, new, at Amazon (US) (about shipping). Used copies also available from Amazon. 4th edition is preferred because exercises change a lot, but 3rd edition probably is similar. |
Note: I have updated the schedule of topics, but after April 29 this is not yet final. Also, after April 29 the lecture notes are more less in order, but the topics treated in the notes may correspond to an earlier or later date than described here.
No | Date | Link |
---|---|---|
1 | April 8 | Introductory remarks. |
2 | April 15 | Variables, types, experiments and observational studies. |
3 | April 22 | Distributions, histograms, and location. |
_ | April 29 | Golden Week holiday |
4 | May 6 | More statistics: dispersion, skewness, kurtosis. |
_ | Links below are current but expected to be updated. | |
5 | May 13 | Probability and probability distributions. |
6 | May 20 | The normal distribution and statistical inference. |
7 | May 27 | Midterm examination. Statistical inference. |
8 | June 3 | Confidence intervals and hypothesis testing. |
_ | Links below are to last year's notes. | |
9 | June 10 | Correlation and regression analysis. |
10 | June 17 | Special models. |
11 | June 24 | Data mining *vs.* statistics. |
_ | July 1 | Final examination. |
Homework | Link |
---|---|
1 | Variable Types |
2 | Working with Distributions Fill-in spreadsheet #2 Reference spreadsheet on moments |
Wed May 5 03:08:42 2010
Wed May 5 02:37:50 2010
Mon Apr 19 17:07:20 2010
Mon Apr 19 01:27:19 2010
Thu Apr 15 16:59:36 2010
Thu Apr 15 06:42:57 2010
Thu Apr 8 11:11:03 2010
Tue Apr 6 23:58:04 2010