Power plants can emit levels of pollution that can lower air quality. For this reason, it is important to monitor the levels of pollution they produce. Investigators measured dust emissions, in milligrams per cubic meter, at four power plants. Thirty measurements were taken for each plant. The sample means and standard deviations are presented in the table. Can you conclude there are differences among the mean emission levels at significance level 0.05?
Plant | Mean | Standard Deviation | Sample Size |
A | 211.50 | 24.85 | 30 |
B | 214.00 | 35.26 | 30 |
C | 211.75 | 33.53 | 30 |
D | 236.08 | 23.09 | 30 |
from above data:
Group | ni | x̅i | S2i | ni*(Xi-Xgrand)2 | (ni-1)*S2i |
A | 30 | 211.5 | 617.523 | 1400.492 | 17908.15 |
B | 30 | 214 | 1243.268 | 563.117 | 36054.76 |
C | 30 | 211.75 | 1124.261 | 1299.879 | 32603.57 |
D | 30 | 236.08 | 533.148 | 9449.213 | 15461.29 |
grand mean= | 218.3325 | 12712.700 | 102027.77 | ||
SSTr | SSE |
Source | SS | df | MS | F | Fcrit |
between | 12712.70 | 3.000 | 4237.5668 | 4.82 | 2.683 |
within | 102027.77 | 116.000 | 879.5498 | ||
total | 114740.47 | 119.0000 |
as test statistic Falls above critical value we reject null hypothesis
therefore we have sufficient evidenec to conclude that there are differences among the mean emission levels at significance level 0.05 .
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