Difference between revisions of "Assignment 2 - 2011 - Solution"

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- Collect data from multiple sources, consolidate it, and analyze it.
- Collect data from multiple sources, consolidate it, and analyze it.
- Deal with issues that are prevalent in real data sets.
- Deal with issues that are prevalent in real data sets.
- Improve your skills with R (if you are using R for the course).   
- Improve your skills with R (if you are using R for the course).
 
 
**Notes**:
 
- I would normally expect you to spend between 3 and 5 hours outside of class on assignmentsThis assignment should take about that long.  Answer with bullet points, not in full paragraphs.
- **Numbers in bold** next to the question are the grading points.  Read more about the `assignment grading system <http://stats4eng.connectmv.com/wiki/Assignment_grading_system>`_.
- 600-level students must complete all the question; 400-level students may attempt the 600 level question for extra credit.  Also 600-level students must read the paper by PJ Rousseeuw, "`Tutorial to Robust Statistics <http://dx.doi.org/10.1002/cem.1180050103>`_".
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Revision as of 13:50, 22 September 2018

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.. rubric:: Assignment objectives

- A review of basic probability, histograms and sample statistics. - Collect data from multiple sources, consolidate it, and analyze it. - Deal with issues that are prevalent in real data sets. - Improve your skills with R (if you are using R for the course).


    • Notes**:

- I would normally expect you to spend between 3 and 5 hours outside of class on assignments. This assignment should take about that long. Answer with bullet points, not in full paragraphs. - **Numbers in bold** next to the question are the grading points. Read more about the `assignment grading system <http://stats4eng.connectmv.com/wiki/Assignment_grading_system>`_. - 600-level students must complete all the question; 400-level students may attempt the 600 level question for extra credit. Also 600-level students must read the paper by PJ Rousseeuw, "`Tutorial to Robust Statistics <http://dx.doi.org/10.1002/cem.1180050103>`_". </rst>