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
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Chapter1: Starting With Matlab
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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)

Poplar Weights (kg) and Bonferroni Results
ion 7
S
No Treatment
0.569
0.126
1.301
(1) TREATMENT
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
Print
###
0.0200
0.2346
0.8450
Done
Fertilizer and Irrigation
0.854
1.776
1.468
Std. Error
0 26999
0.26999
0.26999
1.643
*-=======
www
Sig.
1.000
1.000
0.039
******
B. Reject H,. There is sufficient evidence to warrant rejection of the claim that the four differe
Transcribed Image Text:Poplar Weights (kg) and Bonferroni Results ion 7 S No Treatment 0.569 0.126 1.301 (1) TREATMENT 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 Print ### 0.0200 0.2346 0.8450 Done Fertilizer and Irrigation 0.854 1.776 1.468 Std. Error 0 26999 0.26999 0.26999 1.643 *-======= www Sig. 1.000 1.000 0.039 ****** B. Reject H,. There is sufficient evidence to warrant rejection of the claim that the four differe
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