Can you give us as many descriptive statistics to explain your sample? Include:
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Median
Mode
Standard deviation
Since the data has only one variable independent, 1way ANOVA is possible to use for comparing mean from three different samples. This describes the relationship between average and shift.
Assumptions
Sum of Squares Between Groups – examines differences among group means by calculation variation of each mean.
Sum of Squares Within Groups – examines error variation or variation of individual scores around each group mean.
Summum of all Squares = Sum between Squares + Sum Within Squares
Average Square Between = Variance in the Group Means
Average Squared Error is the mean of all variances within a group
MSB stands for SSB/DF and MSE stands for SSE/DF
F is MSE/MSB
P- value – probability of getting a result at least as extreme as the one you have , given that H0 is true.
F statistic – determines the significance of the groups of variables.
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