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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). Click the icon to view the data table of the poplar weights and the Bonferroni results. i Poplar Weights (kg) and Bonferroni Results - X 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: No Treatment Fertilizer Irrigation Fertilizer and Irrigation 1.24 1.08 0.09 0.87 0.44 0.88 0.58 1.85 Find the test statistic. 0.61 0.54 0.08 1.48 0.13 0.55 0.64 2.42 (Round to two decimal places as needed.) 1.29 0.96 0.95 1.74 Find the P-value. Bonferroni Results P-value = (Round to three decimal places as needed.) Mean (1) TREATMENT (J) TREATMENT Difference (1-J) Std. Error Sig. What is the conclusion for this hypothesis test? 1.00 2.00 0.0600 0.25787 1.000 3.0 0.2740 0.25787 1.000 O A. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. 4.00 0.9300 0.25787 0.025 O B. 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. Print Done O C. 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 insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weightThe 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). EffClick 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 a significant difference between the No Treatment and Fertilizer groups. There a significant difference between the No Treatment and Irrigation groups. There a 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? O A. 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 B. 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 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. 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
