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Develop skills and conceptual framework to effectively use data to solve practical problems. Topics include descriptive statistics, hypothesis testing, experimental design, exploratory data analysis, probability and uncertainty, time series analysis, and spatial stats. Emphasis of case studies from environmental problems. |
Instructor(s)
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Homeworks
| Date | Title |
| 4/27/2009 |
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| 4/24/2009 |
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| 4/24/2009 |
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| 4/21/2009 | Logistic Regression - Hwk. 2 |
| 4/21/2009 |
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| 4/16/2009 |
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| 4/16/2009 | Apple data |
| 4/13/2009 |
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| 4/8/2009 |
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Lab
| Date | Title |
| 4/28/2009 | Bootstrap Data |
| 4/28/2009 | diplonychus.csv |
| 4/28/2009 | notonecta.csv |
| 4/28/2009 | anisops.csv |
| 4/28/2009 |
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| 4/21/2009 |
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| 4/21/2009 |
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| 4/15/2009 | Logistic Regression |
| 4/14/2009 | Ellison Darlingtonia Data 3 |
| 4/14/2009 |
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| 4/8/2009 |
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| 4/8/2009 |
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Lectures
| Date | Title |
| 4/29/2009 |
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| 4/28/2009 |
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| 4/15/2009 |
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| 4/13/2009 |
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| 4/8/2009 |
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| 4/6/2009 |
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| 4/1/2009 |
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| 3/30/2009 |
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Links
| Date | Title |
| 4/27/2009 | Crowley Introduction to Monte Carlo and Bootstrapping |





