In: Statistics and Probability
Weights (kg) of poplar trees were obtained from trees planted in a rich and moist region. The trees were given different treatments identified in the accompanying table. Use a
0.05 significance level to test the claim that the four treatment categories yield poplar trees with the same mean weight. Is there a treatment that appears to be most effective?
No TreatmentNo Treatment |
FertilizerFertilizer |
IrrigationIrrigation |
Fertilizer and IrrigationFertilizer and Irrigation |
|
---|---|---|---|---|
1.13 |
0.82 |
0.07 |
0.91 |
|
0.52 |
0.82 |
0.62 |
1.45 |
|
0.53 |
0.38 |
0.08 |
1.04 |
|
0.08 |
0.42 |
0.87 |
1.59 |
|
1.23 |
1.08 |
0.89 |
1.11 |
Determine the null and alternative hypotheses.
Upper H 0H0:
▼
mu 1 greater than mu 2 greater than mu 3 greater than mu 4μ1>μ2>μ3>μ4
mu 1 not equals mu 2 not equals mu 3 not equals mu 4μ1≠μ2≠μ3≠μ4
mu 1 equals mu 2 equals mu 3 equals mu 4μ1=μ2=μ3=μ4
At least two of the population means are equal.At least two of the population means are equal.
Not all of the population means are equal.Not all of the population means are equal.
Exactly two of the population means are equal.Exactly two of the population means are equal.
Upper H 1H1:
▼
At least two of the population means are equal.At least two of the population means are equal.
mu 1 equals mu 2 equals mu 3 equals mu 4μ1=μ2=μ3=μ4
At least one of the four population means is different from the others.At least one of the four population means is different from the others.
Exactly two of the population means are different from the others.Exactly two of the population means are different from the others.
mu 1 greater than mu 2 greater than mu 3 greater than mu 4μ1>μ2>μ3>μ4
mu 1 not equals mu 2 not equals mu 3 not equals mu 4μ1≠μ2≠μ3≠μ4
Find the F test statistic.
Fequals=nothing
(Round to four decimal places as needed.)
Find the P-value using the F test statistic.
P-valueequals=nothing
(Round to four decimal places as needed.)
What is the conclusion for this hypothesis test?
A.
RejectReject
Upper H 0H0.
There is
sufficientsufficient
evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.
B.
RejectReject
Upper H 0H0.
There is
insufficientinsufficient
evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.
C.
Fail to rejectFail to reject
Upper H 0H0.
There is
insufficientinsufficient
evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.
D.
Fail to rejectFail to reject
Upper H 0H0.
There is
sufficientsufficient
evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.
Is there a treatment that appears to be most effective?
A.
The 'No Treatment' method seems to be most effective.
B.
The 'Irrigation' method seems to be most effective.
C.
The 'Fertilizer and Irrigation'The 'Fertilizer and Irrigation'
method seems to be most effective.
D.
The 'Fertilizer' method seems to be most effective.
E.
No one treatmentNo one treatment
method seems to be most effective.
One-way ANOVA: No Treatment, Fertilizer, Irrigation, ... and Irrigation
Method
Null hypothesis | All means are equal |
Alternative hypothesis | Not all means are equal |
Significance level | α = 0.05 |
Equal variances were assumed for the analysis.
Factor Information
Factor | Levels | Values |
Factor | 4 | No Treatment, Fertilizer, Irrigation, Fertilizer and Irrigation |
Analysis of Variance
Source | DF | Adj SS | Adj MS | F-Value | P-Value |
Factor | 3 | 1.406 | 0.4686 | 3.3171 | 0.0468 |
Error | 16 | 2.260 | 0.1413 | ||
Total | 19 | 3.666 |
Model Summary
S | R-sq | R-sq(adj) | R-sq(pred) |
0.375859 | 38.35% | 26.79% | 3.67% |
Means
Factor | N | Mean | StDev | 95% CI |
No Treatment | 5 | 0.698 | 0.477 | (0.342, 1.054) |
Fertilizer | 5 | 0.704 | 0.297 | (0.348, 1.060) |
Irrigation | 5 | 0.506 | 0.408 | (0.150, 0.862) |
Fertilizer and Irrigation | 5 | 1.220 | 0.287 | (0.864, 1.576) |
Pooled StDev = 0.375859
Tukey Pairwise Comparisons
Tukey Simultaneous Tests for Differences of Means
Difference of Levels |
Difference of Means |
SE of Difference |
95% CI | T-Value |
Adjusted P-Value |
Fertilizer - No Treatment | 0.006 | 0.238 | (-0.675, 0.687) | 0.03 | 1.000 |
Irrigation - No Treatment | -0.192 | 0.238 | (-0.873, 0.489) | -0.81 | 0.850 |
Fertilizer and Irrigation - No Treatment | 0.522 | 0.238 | (-0.159, 1.203) | 2.20 | 0.167 |
Irrigation - Fertilizer | -0.198 | 0.238 | (-0.879, 0.483) | -0.83 | 0.838 |
Fertilizer and Irrigation - Fertilizer | 0.516 | 0.238 | (-0.165, 1.197) | 2.17 | 0.174 |
Fertilizer and Irrigation - Irrigation | 0.714 | 0.238 | (0.033, 1.395) | 3.00 | 0.038 |
Tukey Simultaneous 95% CIs
1)
H0: μ1=μ2=μ3=μ4
H1: At least one of the four population means is different from the others.
2)
F= 3.3171
p-value = 0.0468
since p-value is less than 0.05
Reject H0. There is sufficient evidence to warrant rejection of the claim that the four different treatments yield the same mean poplar weight.
Is there a treatment that appears to be most effective?
The 'Fertilizer and Irrigation' method seems to be most effective. which is concluded from Tukey's simultaneous intervals.