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Unformatted text preview: variable for weight change. * For part (c), calculate the interval using the t.test() command (you should still interpret the C.I.). * For part (e), perform the test using the t.test() command (you should still specify your hypotheses and state your conclusion from the test). – 7.82; data = http://www.stat.umn.edu/ ~ graalum/data/ch7/ex07_82.txt * For part (a), just do separate histograms instead of a back-to-back stemplot. The following code will generate a side-by-side boxplot: boxplot(dbh~ew) * For part (d), perform the test using the t.test() command (you should still summarize your conclusion). 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