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 Poplar Weights (kg) and Bonferroni Results Determine the test statistic. No Treatment Fertilizer Irrigation Fertilizer and Irri The test statistic is 1.209 0.937 0.066 0.853 (Round to two decimal places as needed.) 0.572 0.871 0.664 1.781 Determine the P-value. 0.556 0.463 0.096 1.472 The P-value is 0.128 0.583 0.816 2.253 (Round to three decimal places as needed.) 1.301 1.032 0.939 1.638 What is the conclusion for this hypothesis test at a 0.10 significance level? Bonferroni Results Mean (1) TREATMENT (J) TREATMENT O A. Reject Ho. There is insufficient evidence to warrant rejection of the claim that the four differer Difference (1-J) Std. Error Sig. 1.00 2.00 - 0.0240 0.26976 1.000 O B. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the four diff 3.00 0.2370 0.26976 1.000 4.00 - 0.8462 0.26976 0.038 O C. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the four d O D. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different b. What do the displayed Bonferroni results tell us? Print Done With a P-value of , there a significant difference between the No Treatment and Fertilizer