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 testwith the sample data. Complete parts (a) through (c).Click the icon to view the data table of the poplar weights and the Bonferroni results.Poplar Weights (kg) and Bonferroni Resultsa. 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.H₂!H₁: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. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poOB. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weigOC. 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?With a P-value ofWith a P-value oftherethereWith a P-value ofthere(Round to three decimal places as needed.).a significant difference between the No Treatment and Fertilizer groups.a significant difference between the No Treatment and Irrigation groups.H₂:H₂:a significant difference between the No Treatment and Fertilizer and Irrigation groups.The test statistic is(Round to two decimal places as needed.)Find the P-value.GThe P-value is(Round to three decimal places as needed.)What do the results indicate at a 0.10 significance level?No Treatment1.2120.5730.5570.1331.297(1) TREATMENT1.00Fertilizer0.9390.8660.4640.5771.029Bonferroni Results(J) TREATMENT2.003.004.00PrintIrrigation0.0690.6610.0980.8170.935OA. Reject H. 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.OB. 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.OC. 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.D. Reject H. 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.MeanDifference (I-J) Std. Error-0.02060.2384-0.8422Fertilizer and Irrigatio0.8521.776Donec. Let P₁, P₂, P3, and H, 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 amountof 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.0.268980.268980.268981.4662.2521.637Sig.1.0001.0000.039

Question

Accepted Answer

No treatment 
Fertilizer 
Irrigation 
Fertilizer and irrigation

1.212
0.939
0.069
0.852…