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 i e partial results from using the Bonferoni test with the sample data. Complete parts (a) through (c) Click the icon to view the date table of the poplar weights and the Bonferroni resus 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 atemative hypotheses My My HyPy "P H₁: At least one of the four population means is different from the others Determine the test statistic The test statistic is (Round to two decimal places as needed) Determine the P-value. I CID The P-value i (Round to three decimal places as needed) What is the conclusion for this hypothesis test at a 0.10 significance level? OA Fal to reject Hy. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight B. Reject H. There is sufficient evidence to warrant rejection of t that the four different treatments yield the same mean poplar weight daim that the four different treatments yield the same mean poplar weight OC. Fail to reject H. There is sufficient evidence to womant rejection of t OD. Reject H. There is insufficient evidence to wamant rejection of the claim that the four different treatments yield the same mean poplar weight What do the displayed Bonferroni results tell us? Navt

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Poplar Weights (kg) and Bonferroni Results
Poplar Weights (kg) and Bonferroni Results
No Treatment
1.208
0.568
0.555
0.132
1.302
U. VII sprayu Duen results on US
(1) TREATMENT
1.00
With a P-value of , there
With a P-value of, there
With a P-value of, there
(Round to three decimal places as needed.)
V
Ho:
H₂:
Determine the null and alternative hypotheses.
I
this
Fertilizer
0.937
0.874
0.461
0.582
1.032
DUNIBITON results.
Bonferroni Results
Print
View an example
Mean
(J) TREATMENT Difference (I-J) Std. Error
2.00
3.00
4.00
Irrigation
0.067
0.658
0.104
0.817
0.942
Get more help.
a significant difference between the No Treatment and Fertilizer groups.
a significant difference between the No Treatment and Irrigation groups.
a significant difference between the No Treatment and Fertilizer and Irrigation groups.
-0.0242
0.2354
-0.8454
c. Let H. H₂, H3, and 4 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?
Ho: My H₂Pg "He
H₁: At least one of the four population means is different from the others
Done
Determine the test statistic
The test statistic is
(Round to two decimal places as needed)
Determine the P-value. I
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?
Fertilizer and Irrigation
0.845
1.783
1.471
2.249
1.644
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
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. 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
Sig.
0.26983 1.000
0.26983 1.000
0.26983
0.039
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 Bonferoni 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.
- X
OA Fall to reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight
B. Reject H₂. There is sufficient evidence to wamant rejection of the claim that the four different treatments yield the same mean poplar weight
OC. Fal to reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight
OD. Reject Hg. There is insufficient evidence to wamant rejection of the claim that the four different treatments yield the same mean poplar weight
What do the displayed Bonferroni results tell us?
-
ght.
Next
Transcribed Image Text:Poplar Weights (kg) and Bonferroni Results Poplar Weights (kg) and Bonferroni Results No Treatment 1.208 0.568 0.555 0.132 1.302 U. VII sprayu Duen results on US (1) TREATMENT 1.00 With a P-value of , there With a P-value of, there With a P-value of, there (Round to three decimal places as needed.) V Ho: H₂: Determine the null and alternative hypotheses. I this Fertilizer 0.937 0.874 0.461 0.582 1.032 DUNIBITON results. Bonferroni Results Print View an example Mean (J) TREATMENT Difference (I-J) Std. Error 2.00 3.00 4.00 Irrigation 0.067 0.658 0.104 0.817 0.942 Get more help. a significant difference between the No Treatment and Fertilizer groups. a significant difference between the No Treatment and Irrigation groups. a significant difference between the No Treatment and Fertilizer and Irrigation groups. -0.0242 0.2354 -0.8454 c. Let H. H₂, H3, and 4 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? Ho: My H₂Pg "He H₁: At least one of the four population means is different from the others Done Determine the test statistic The test statistic is (Round to two decimal places as needed) Determine the P-value. I 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? Fertilizer and Irrigation 0.845 1.783 1.471 2.249 1.644 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 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. 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 Sig. 0.26983 1.000 0.26983 1.000 0.26983 0.039 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 Bonferoni 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. - X OA Fall to reject Ho. There is insufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight B. Reject H₂. There is sufficient evidence to wamant rejection of the claim that the four different treatments yield the same mean poplar weight OC. Fal to reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight OD. Reject Hg. There is insufficient evidence to wamant rejection of the claim that the four different treatments yield the same mean poplar weight What do the displayed Bonferroni results tell us? - ght. Next
this
✓
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 H₁ H₂ H3 H4
H₁: At least one of the four population means is different from the others
Determine the test statistic.
The test statistic is.
(Round to two decimal places as needed.)
Determine the P-value. I
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?
OA. 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.
OB. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.
OC. 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.
OD. Reject Ho. There is insufficient 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?
—
View an example
Get more help.
0 FS
000
000 F4
F5
MacBook Air
***
F6
&
F7
*
FB
1
F9
F10
FI
-
Next
Transcribed Image Text:this ✓ 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 H₁ H₂ H3 H4 H₁: At least one of the four population means is different from the others Determine the test statistic. The test statistic is. (Round to two decimal places as needed.) Determine the P-value. I 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? OA. 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. OB. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight. OC. 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. OD. Reject Ho. There is insufficient 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? — View an example Get more help. 0 FS 000 000 F4 F5 MacBook Air *** F6 & F7 * FB 1 F9 F10 FI - Next
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