Here we have data:
Treatment 1 | Treatment 2 | Treatment 3 |
40 | 50 | 60 |
40 | 60 | 70 |
50 | 60 | 90 |
60 | 70 | 90 |
80 | 80 | 80 |
90 |
Here we are using excel for calculation:
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
40 | 5 | 320 | 64 | 430 | ||
50 | 4 | 270 | 67.5 | 91.6667 | ||
60 | 4 | 330 | 82.5 | 91.6667 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 822.3077 | 2 | 411.1538 | 1.8113 | 0.2132 | 4.1028 |
Within Groups | 2270 | 10 | 227 | |||
Total | 3092.3077 | 12 |
Hypothesis:
Ho; μ1 = μ2 = μ3
Ha; At least one mean is difference from others.
Test statistics :
F = 1.8113
Critical value:
Fc = 4.1028
P-value = 0.2132
Alpha value = 0.05
Fail to reject the null hypothesis
Here we have not sufficient evidence to reject the null hypothesis F-observed value is less than F-critical value and P-value is grater than alpha value.
We can say that there is no difference in three treatment method.
need help Table Q4 shows the means for the removal reduction of chemical oxygen demand (COD)...
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