In: Statistics and Probability
3) You are interested in the effects of coal-fired power plants on local mercury contamination in wetlands. Your funding comes from a local power company that wants 2 of the plants to be their power plants in Illinois. You look at a map and select 2 of their plants and 2 plants that are of similar energy output. You want to know if the power plant is having an effect on mercury concentrations in sediment samples. In addition to what you did above, answer this question: Is power plant a fixed or random effect based on how the question is worded and how did you know?
Plant |
Hg |
Baldwin |
267.84 |
Baldwin |
109.64 |
Baldwin |
289.01 |
Baldwin |
368.21 |
Baldwin |
342.63 |
Baldwin |
447.59 |
Baldwin |
335.2 |
Newton |
251.21 |
Newton |
323.57 |
Newton |
367.29 |
Newton |
199.62 |
Newton |
198.08 |
Newton |
197.21 |
Newton |
208.52 |
Newton |
124.2 |
Newton |
205.03 |
Joppa |
539.48 |
Joppa |
846.37 |
Joppa |
273.13 |
Joppa |
218.83 |
Joppa |
211.6 |
Joppa |
1100 |
Joppa |
308.02 |
Marion |
167.26 |
Marion |
537.42 |
Marion |
303.16 |
Marion |
175.95 |
Marion |
259.87 |
Marion |
232.32 |
Marion |
224.09 |
Marion |
395.69 |
Marion |
376.97 |
One-way ANOVA: Hg versus Plant1
Method
Null hypothesis
All means are equal
Alternative hypothesis At least one mean is different
Significance level α = 0.05
Equal variances were assumed for the analysis.
Factor Information
Factor Levels Values
Plant1 4 Baldwin, Joppa,
Marion, Newton
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Plant1 3 302761
100920 2.95 0.050
Error 28 958140 34219
Total 31 1260901
Model Summary
S R-sq
R-sq(adj) R-sq(pred)
184.985 24.01%
15.87% 0.00%
Means
Plant1 N Mean
StDev 95% CI
Baldwin 7 308.6 105.2 (165.4, 451.8)
Joppa 7 500
349 ( 356, 643)
Marion 9 297.0 120.6 (170.7, 423.3)
Newton 9 230.5 73.6 (104.2, 356.8)
Pooled StDev = 184.985
F = 2.949239
critical value = 2.946685 at 0.05 significance level
since F > critical value
we reject the null hypothesis
the power plant is having an effect on mercury concentrations in sediment samples.