Hypothesis:
H0: μ1 = μ2 = μ3
Ha: Not all the means are same
Critical value:
alpha = 0.05, df1 = 2 and df2 = 10
Fc = 4.1028 (Use F table)
Test:
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Eastern third | 5 | 177 | 35.4 | 351.8 | ||
Middle third | 4 | 275 | 68.75 | 338.25 | ||
Western third | 4 | 177 | 44.25 | 277.5833333 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 2570.376923 | 2 | 1285.188462 | 3.948715585 | 0.054456095 | 4.102821015 |
Within Groups | 3254.7 | 10 | 325.47 | |||
Total | 5825.076923 | 12 |
F stat = 3.9487
Decision:
Fstat = 3.9487 < F critical = 4.1082, Do not reject H0
Conclusion:
There is not enough evidence to warrant rejection of claim that the mean number of farms is the same across these three geographic divisions at 5% significance level
For each exercise, assume that all variables are normally distributed, that the samples are independent, and...
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