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. 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: Determine the test statistic. The test statistic is (Round to two decimal places as needed.) Determine the P-value. The P-value is (Round to three decimal places as needed.) What is the conclusion for this hypothesis test at a 0.10 significance level? 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. O B. 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 C. 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. O D. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.Determine the null and alternative hypotheses. Ho: Hy : Dete At least two of the population means are equal The (ROL Not all of the population means are equal Dete Hq # H2 # H3 # H4 The (ROL Exactly two of the population means are equal Wha ance level? H1 = H2 = H3 = H4 OI ction of the clai OF H1 > H2 > H3 > H4 it rejection of thThe 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. b. What do the displayed Bonferroni results tell us? With a P-value of there a significant difference between the No Treatment and Fertilizer groups. With a P-value of there a significant difference between the No Treatment and Irrigation groups. With a P-value of , there a significant difference between the No Treatment and Fertilizer and Irrigation groups. (Round to three decimal places as needed.) c. Let H1, H2, H3, and u4 represent the mean amount of the no treatment, fertilizer, irrigation, and fertilizer and irrigation groups, respectively. 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? Determine the null and alternative hypotheses. Ho: H1: The test statistic is (Round to two decimal places as needed.) Find the P-value. The P-value is (Round to three decimal places as needed.)What do the results indicate at a 0.10 significance level? A. 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 B. 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 C. 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. 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.\fPoplar Weights (kg) and Bonferroni Results - X No Treatment Fertilizer Irrigation Fertilizer and Irrigation 1.205 0.939 0.073 0.849 0.571 0.871 0.663 1.782 0.563 0.458 0.099 1.469 0.126 0.582 0.824 2.247 1.296 1.026 0.937 1.637 Bonferroni Results Mean (1) TREATMENT (J) TREATMENT Difference (1-J) Std. Error Sig. 1.00 2.00 0.0230 0.26909 1.000 3.00 0.2330 0.26909 1.000 4.00 - 0.8446 0.26909 0.038 Print Done ghb. What do the displayed Bonferroni results tell us? With a P-value of there a significant difference With a P-value of there ant difference With a P-value of there ant difference (Round to three decimal plac is not c. Let Hy , H2, Ng, and HA rep amount of the significance level to test for a is ence between P-value. What do the results