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he 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 i he accompanying table. Also shown are partial results from using the Bonferroni test with the sample data. Complete parts (a) through (c). . Use a 0.10 significance level to test the claim that the different treatments result in the same mean weight. etermine the null and alternative hypotheses. 0 1 ind the test statistic. (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 (J) TREATMENT 2.00 3.00 4.00 0.82 0.83 Bonferroni Results Mean Difference (I-J) -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

he 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 i he accompanying table. Also shown are partial results from using the Bonferroni test with the sample data. Complete parts (a) through (c). . Use a 0.10 significance level to test the claim that the different treatments result in the same mean weight. etermine the null and alternative hypotheses. 0 1 ind the test statistic. (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 (J) TREATMENT 2.00 3.00 4.00 0.82 0.83 Bonferroni Results Mean Difference (I-J) -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
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. Complete parts (a) through (c). a. Use a 0.10 significance level to test the claim that the different treatments result in the same mean weight. Determine the null and alternative hypotheses. Ho H₁: Find the test statistic. C (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 (J) TREATMENT 2.00 3.00 4.00 0.53 0.11 0.82 0.83 Bonferroni Results Mean Difference (I-J) -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
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). a. Use a 0.10 significance level to test the claim that the different treatments result in the same mean weight. Determine the null and alternative hypotheses. Ho H₁: Find the test statistic. C (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 (J) TREATMENT 2.00 3.00 4.00 0.53 0.11 0.82 0.83 Bonferroni Results Mean Difference (I-J) -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
What is the conclusion for this hypothesis test? O A. Reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. OB. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. OC. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. O D. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. b. What do the displayed Bonferroni results tell us? There There There a significant difference between the No Treatment and Fertilizer groups. ▼ a significant difference between the No Treatment and Irrigation groups. a significant difference between the No Treatment and Fertilizer and Irrigation groups.
Transcribed Image Text:What is the conclusion for this hypothesis test? O A. Reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. OB. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. OC. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. O D. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. b. What do the displayed Bonferroni results tell us? There There There a significant difference between the No Treatment and Fertilizer groups. ▼ a significant difference between the No Treatment and Irrigation groups. a significant difference between the No Treatment and Fertilizer and Irrigation groups.
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