ying 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. Complete parts (a) through (c). E Click the icon to view the data table of the poplar weights and the Bonferroni results. a. Use a 0.10 significance level to test the claim that the different treatments result in the same mean weight. Poplar weights (kg) and bonferroni results Determine the null and alternative hypotheses. H: At least one of the four population means is different from the others. No Treatment Fertilizer Irrigation Fertilizer and Irrigation 1.15 1.08 0.05 0.94 Find the test statistic. 0.65 0.87 0.69 1.82 0.64 0.43 0.08 1.58 7.42 (Round to two decimal places as needed.) 0.11 0.59 0.83 2.35 Find the P-value. 1.28 1.06 0.76 1.64 P-value (Round to three decimal places as needed.) Bonferroni Results Mean (1) TREATMENT 1.00 (J) TREATMENT 2.00 3.00 Sig. 1.000 Difference (I-J) Std. Error -0.0400 0.2840 0.21783 0.21783 1.000
ying 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. Complete parts (a) through (c). E Click the icon to view the data table of the poplar weights and the Bonferroni results. a. Use a 0.10 significance level to test the claim that the different treatments result in the same mean weight. Poplar weights (kg) and bonferroni results Determine the null and alternative hypotheses. H: At least one of the four population means is different from the others. No Treatment Fertilizer Irrigation Fertilizer and Irrigation 1.15 1.08 0.05 0.94 Find the test statistic. 0.65 0.87 0.69 1.82 0.64 0.43 0.08 1.58 7.42 (Round to two decimal places as needed.) 0.11 0.59 0.83 2.35 Find the P-value. 1.28 1.06 0.76 1.64 P-value (Round to three decimal places as needed.) Bonferroni Results Mean (1) TREATMENT 1.00 (J) TREATMENT 2.00 3.00 Sig. 1.000 Difference (I-J) Std. Error -0.0400 0.2840 0.21783 0.21783 1.000
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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Transcribed Image Text: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. Complete parts (a) through (c).
E Click the icon to view the data table of the poplar weights and the Bonferroni results.
a. Use a 0.10 significance level to test the claim that the different treatments result in the same mean weight.
Poplar weights (kg) and bonferroni results
- X
Determine the null and alternative hypotheses.
Ho: H1 = H2 "H3 =H4
H: At least one of the four population means is different from the others.
No Treatment
Fertilizer
Irrigation
Fertilizer and Irrigation
1.15
1.08
0.05
0.94
Find the test statistic.
0.65
0.87
0.69
1.82
0.64
0.43
0.08
1.58
7.42 (Round to two decimal places as needed.)
0.11
0.59
0.83
2.35
Find the P-value.
1.28
1.06
0.76
1.64
P-value = (Round to three decimal places as needed.)
Bonferroni Results
Mean
(1) TREATMENT
1.00
(J) TREATMENT
2.00
Difference (I-J) Std. Error
0.21783
0.21783
0.21783
Sig.
1.000
1.000
0.0400
0.2840
3.00
4.00
-0.9000
0.022
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