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Unformatted text preview: http://www.stat.umn.edu/ ~ graalum/data/ch9/ex09_007.txt * For parts (b), (c), and (d), the distribution tables can be done by hand, but you should also construct probability histograms, using the barplot() command, for each distribution. – 9.10; data = http://www.stat.umn.edu/ ~ graalum/data/ch9/ex09_010.txt * For part (c), the chisq.test() command may be useful. Include all relevant R input and output. Describe the output in your own words. You may ﬁnd the code included in the lab exercises useful....
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This note was uploaded on 08/31/2011 for the course STAT 3101 taught by Professor Erick during the Spring '11 term at Minnesota.
 Spring '11
 erick
 Linear Regression

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