Essay on Spss Project

687 Words Sep 9th, 2014 3 Pages
Oneway

ANOVA
Household Grocery Order Amounts $ Sum of Squares df Mean Square F Sig.
Between Groups 29343.557 2 14671.778 7.128 .001
Within Groups 177019.882 86 2058.371
Total 206363.438 88

Post Hoc Test
Multiple Comparisons
Household Grocery Order Amounts $
Tukey HSD
(I) Cities (J) Cities Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound
St. Catherines Edmonton -42.50460* 11.81485 .002 -70.6825 -14.3266 Moncton -9.23333 11.71430 .711 -37.1715 18.7048
Edmonton St. Catherines 42.50460* 11.81485 .002 14.3266 70.6825 Moncton 33.27126* 11.81485 .016 5.0933 61.4492
Moncton St. Catherines 9.23333 11.71430 .711 -18.7048 37.1715 Edmonton -33.27126* 11.81485 .016 -61.4492
…show more content…
Therefore, there is evidence that at least one μj differs from the rest.

Mean Grocery Order Amounts from St. Catherines to Edmonton:
Ho: µ1 = µ2
Ha: µ1 ≠ µ2 p-value = 0.002

Since the p-value = 0.002 < 0.05, the conclusion is to reject the null hypothesis and there is evidence to indicate that the means for St. Catherines and Edmonton are different. There is also evidence to indicate that the household grocery order amounts are higher in Edmonton because of the negative mean difference between the two cities.

Mean Grocery Order Amounts from St. Catherines to Moncton:
Ho: µ1 = µ3
Ha: µ1 ≠ µ3 p-value = 0.711
Since the p-value = 0.711 > 0.05, the conclusion is to not reject the null hypothesis and there is no evidence to indicate that the means for St. Catherines to Moncton are different. There is also evidence to indicate that the household grocery order amounts are higher in Moncton because of the negative mean difference between the two cities.

Mean Grocery Order Amounts from Edmonton to Moncton:
Ho: µ2 = µ3
Ha: µ2 ≠ µ3 p-value = 0.016

Since the p-value =

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