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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 in the accompanying table. Also using the Bonferroni test with the sample data. Complete parts (a) through (c). m Click the icon to view the data table of the poplar weights and the Bonferroni results. b. What do the displayed Bonferroni results tell us? There Va significant difference between the No Treatment and Fertilizer groups.

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 in the accompanying table. Also using the Bonferroni test with the sample data. Complete parts (a) through (c). m Click the icon to view the data table of the poplar weights and the Bonferroni results. b. What do the displayed Bonferroni results tell us? There Va significant difference between the No Treatment and Fertilizer groups.

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
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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). E Click the icon to view the data table of the poplar weights and the Bonferroni results. b. What do the displayed Bonferroni results tell us? There Va significant difference between the No Treatment and Fertilizer groups. There Va significant difference between the No Treatment and Irrigation groups. There Va significant difference between the No Treatment and Fertilizer and Irrigation groups. 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.) What do the results indicate? OA. 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. O B. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the irigation treatment group and the group treated with both fertilizer and irrigation yield the same mean poplar weight. OC. 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 irigation 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). E Click the icon to view the data table of the poplar weights and the Bonferroni results. b. What do the displayed Bonferroni results tell us? There Va significant difference between the No Treatment and Fertilizer groups. There Va significant difference between the No Treatment and Irrigation groups. There Va significant difference between the No Treatment and Fertilizer and Irrigation groups. 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.) What do the results indicate? OA. 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. O B. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the irigation treatment group and the group treated with both fertilizer and irrigation yield the same mean poplar weight. OC. 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 irigation yield the same mean poplar weight.
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. Poplar weights (kg) and bonferroni results 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. No Treatment Fertilizer Irrigation Fertilizer and Irrigation H, 1.28 0.85 0.09 0.81 0.59 0.99 0.62 1.85 Find the test statistic. 0.44 0.41 0.05 1.56 0.09 0.59 (Round to two decimal places as needed.) 0.66 2.38 1.22 0.98 0.77 1.81 Find the P-value. Bonferroni Results P-value - (Round to three decimal places as needed.) Mean Difference (I-J) Std. Error -0.0400 0.2860 -0.9580 (1) TREATMENT 1.00 (J) TREATMENT 2.00 What is the conclusion for this hypothesis test? Sig. 1.000 1.000 0.020 0.26393 3.00 0.26393 0.26393 A. Reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield t 4.00 OB. Fail to reject Hg. There is sufficient evidence to warrant rejection of the claim that the four different treatments yie OC. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the O D. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments y Print Done
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. Poplar weights (kg) and bonferroni results 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. No Treatment Fertilizer Irrigation Fertilizer and Irrigation H, 1.28 0.85 0.09 0.81 0.59 0.99 0.62 1.85 Find the test statistic. 0.44 0.41 0.05 1.56 0.09 0.59 (Round to two decimal places as needed.) 0.66 2.38 1.22 0.98 0.77 1.81 Find the P-value. Bonferroni Results P-value - (Round to three decimal places as needed.) Mean Difference (I-J) Std. Error -0.0400 0.2860 -0.9580 (1) TREATMENT 1.00 (J) TREATMENT 2.00 What is the conclusion for this hypothesis test? Sig. 1.000 1.000 0.020 0.26393 3.00 0.26393 0.26393 A. Reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield t 4.00 OB. Fail to reject Hg. There is sufficient evidence to warrant rejection of the claim that the four different treatments yie OC. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the O D. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments y Print Done
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