e accompanying table. Also shown are partial results from using the Bonferroni test with the sample data. Complete parts (a) through (c). Use the Bonferroni test procedure with a 0.10 significance level to test for a significant difference between the mean amount of the irrigation treatment group and the grou eated with both fertilizer and irrigation. Identify the test statistic and the P-value. What do the results indicate? he test statistic is Round to two decimal places as needed.) ind the P-value. -value= (Round to three decimal places as needed.) No Treatment 1.26 0.42 0.66 0.09 1.23 (1) TREATMENT 1.00 Fertilizer 0.81 0.79 0.44 0.61 1.06 Irrigation 0.09 0.53 0.11 0.82 0.83 Bonferroni Results Mean (J) TREATMENT Difference (-J) 2.00 3.00 4.00 -0.0100 0.2560 -0.9140 Fertilizer and Irrigation 0.89 Std. Error 0.26037 0.26037 0.26037 1.71 1.47 2.37 1.79 Sig. 1.000 1.000 0.023
e accompanying table. Also shown are partial results from using the Bonferroni test with the sample data. Complete parts (a) through (c). Use the Bonferroni test procedure with a 0.10 significance level to test for a significant difference between the mean amount of the irrigation treatment group and the grou eated with both fertilizer and irrigation. Identify the test statistic and the P-value. What do the results indicate? he test statistic is Round to two decimal places as needed.) ind the P-value. -value= (Round to three decimal places as needed.) No Treatment 1.26 0.42 0.66 0.09 1.23 (1) TREATMENT 1.00 Fertilizer 0.81 0.79 0.44 0.61 1.06 Irrigation 0.09 0.53 0.11 0.82 0.83 Bonferroni Results Mean (J) TREATMENT Difference (-J) 2.00 3.00 4.00 -0.0100 0.2560 -0.9140 Fertilizer and Irrigation 0.89 Std. Error 0.26037 0.26037 0.26037 1.71 1.47 2.37 1.79 Sig. 1.000 1.000 0.023
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:What do the results indicate?
O A. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the irrigation treatment group and the group treated with both fertilizer and irrigation yield
the same mean poplar weight.
OB. Reject H₁. There is sufficient evidence to warrant rejection of the claim that the irrigation treatment group and the group treated with both fertilizer and irrigation yield the
same mean poplar weight.
O C. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the irrigation treatment group and the group treated with both fertilizer and irrigation
yield the same mean poplar weight.
O D. Reject Ho. There is insufficient evidence to warrant rejection of the claim that the irrigation treatment group and the group treated with both fertilizer and irrigation yield the
same mean poplar weight.
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).
c. Use the Bonferroni test procedure with a 0.10 significance level to test for a significant difference between the mean amount of the irrigation treatment group and the group
treated with both fertilizer and irrigation. Identify the test statistic and the P-value. What do the results indicate?
The test statistic is
(Round to two decimal places as needed.)
Find the P-value.
P-value (Round to three decimal places as needed.)
=
No Treatment
1.26
0.42
0.66
0.09
1.23
(1) TREATMENT
1.00
Fertilizer
0.81
0.79
0.44
0.61
1.06
Irrigation
0.09
0.53
0.11
0.82
0.83
Bonferroni Results
Mean
(J) TREATMENT Difference (I-J)
2.00
3.00
4.00
-0.0100
0.2560
-0.9140
Fertilizer and Irrigation
0.89
Std. Error
0.26037
0.26037
0.26037
1.71
1.47
2.37
1.79
Sig.
1.000
1.000
0.023
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