A business analyst was interested in the variation of sales income across four shops in a retail chain. He ran an ANOVA with the predictor variable ‘shop location’, which had four categories, ‘High street’, ‘Outlet’, ‘Online’ and ‘Suburb’; the outcome variable was ‘monthly sales income’.
His ANOVA had an F-statistic of 98.12 (p 0.02). How would you interpret his findings?
A. There is no significant difference in monthly sales income by shop location
B. There is a significant difference in monthly sales income by shop location.
C. There is insufficient information; the results of Post hoc tests are needed.
D. The results are ambiguous.
Answer: B
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