Log-transform the data using R. Test for normality andequal variances for the log-transformed data. Then determine if
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Log-transform the data using R. Test for normality andequal variances for the log-transformed data. Then determine if themeans are different by performing hypothesis testing in R ONLY.Make a conclusion using alpha=0.05 with the test-statistic andp-value.
Treatment A | Treatment B | Treatment C | Treatment D |
9 | 30 | 3900 | 5 |
3 | 30 | 10800 | 9 |
10 | 480 | 28900 | 20 |
200 | 900 | 3600 | 180 |
1 | 2 | 200 | 15 |
2 | 1 | 120 | 20 |
21 | 5400 | 500 | 2 |
720 | 1500 | 600 | 17 |
1500 | 480 | 1980 | 30 |
60 | 3 | 160 | 8 |
Related Book For
Practicing Statistics Guided Investigations For The Second Course
ISBN: 9780321586018
1st Edition
Authors: Shonda Kuiper, Jeff Sklar
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