Poplar Weights (kg) and Bonferroni Results No Treatment 1.212 0.569 0.557 0.126 1.301 (1) TREATMENT 1.00 Fertilizer 0.937 0.868 0.456 0.576 1.028 Irrigation 0.068 0.663 0.098 0.822 0.941 Bonferroni Results Mean (J) TREATMENT Difference (I-J) 2.00 3.00 4.00 -0.0200 0.2346 -0.8450 Fertilizer and Irrigation 0.854 1.776 1.468 2.249 1.643 Std. Error 0.26999 0.26999 0.26999 Sig. 1.000 1.000 0.039
Poplar Weights (kg) and Bonferroni Results No Treatment 1.212 0.569 0.557 0.126 1.301 (1) TREATMENT 1.00 Fertilizer 0.937 0.868 0.456 0.576 1.028 Irrigation 0.068 0.663 0.098 0.822 0.941 Bonferroni Results Mean (J) TREATMENT Difference (I-J) 2.00 3.00 4.00 -0.0200 0.2346 -0.8450 Fertilizer and Irrigation 0.854 1.776 1.468 2.249 1.643 Std. Error 0.26999 0.26999 0.26999 Sig. 1.000 1.000 0.039
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The accompanying data are the weights (kg) of poplar trees that were obtained from trees planted in a rich and moist region. The trees were given different treatments identified in the accompanying table. Also shown are partial results from using the Bonferroni test with the sample data.
The test statistic is?(round to two decimal places as needed)
The P-value is ?(round to nearest three decimals places as needed)
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