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Histograms, Bin Widths, and Cross Validation
Created by David Lane of Rice University, this applet demonstrates how a histogram is affected by bin width and starting point of first bin. It also illustrates cross-validation criterion for assessing histograms. The author structures the lesson in this fashion: instruction, descriptions of datasets and finally, exercises. Additionally, the applet works with six different data sets. These consist of: Old Faithful, Sosa home, Sosa away, arm strength, grip strength and a choice of entering your own data. Overall, this is a nice hands-on approach to learning this statistical method.
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More about this material
- Material Type:
- Reference Material
- Date Added to MERLOT:
- July 18, 2016
- Date Modified in MERLOT:
- July 18, 2016
- Author:
- Lane, David M., Rice University
- Submitter:
-
Barbra Bied Sperling
