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. 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 H,. There is sufficient 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 sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.

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p value, t test and conclusion

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.
H9:
Determine the test statistic.
The test statistic isO
(Round to two decimal places as needed.)
Determine the P-value.
The P-value is O
(Round to three decimal places as needed.)
What is the conclusion for this hypothesis test at a 0.10 significance level?
O A. Reject H,- There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.
O B. Fail to reject H,. There is sufficient evidence to warrant rejection of the claim that the four different treatments 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). 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. H9: Determine the test statistic. The test statistic isO (Round to two decimal places as needed.) Determine the P-value. The P-value is O (Round to three decimal places as needed.) What is the conclusion for this hypothesis test at a 0.10 significance level? O A. Reject H,- There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. O B. Fail to reject H,. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.
Use
- X
eter
Poplar Weights (kg) and Bonferroni Results
No Treatment
Fertilizer
Irrigation
Fertilizer and Irrigation a
1.214
0.936
0.072
0.847
eter
0.567
0.869
0.657
1.782
0.563
0.462
0.099
1.473
e te
0.129
0.579
0.816
2.254
our
1.304
1.033
0.943
1.643
eteri
Bonferroni Results
e P
our
(1) TREATMENT
1.00
Mean
(J) TREATMENT Difference (I-J) Std. Error
- 0.0204
Sig.
1.000
2.00
0.27032
hat
3.00
0.2380
0.27032
1.000
4.00
- 0.8444
0.27032
0.039
A.
B.
Print
Done
Transcribed Image Text:Use - X eter Poplar Weights (kg) and Bonferroni Results No Treatment Fertilizer Irrigation Fertilizer and Irrigation a 1.214 0.936 0.072 0.847 eter 0.567 0.869 0.657 1.782 0.563 0.462 0.099 1.473 e te 0.129 0.579 0.816 2.254 our 1.304 1.033 0.943 1.643 eteri Bonferroni Results e P our (1) TREATMENT 1.00 Mean (J) TREATMENT Difference (I-J) Std. Error - 0.0204 Sig. 1.000 2.00 0.27032 hat 3.00 0.2380 0.27032 1.000 4.00 - 0.8444 0.27032 0.039 A. B. Print Done
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