ANOVA Flashcards
Fundamentals of ANOVA
Examining the mean differences between the groups (+ than 2 groups)
ANOVA will show significance when p
B and W in all Sum of Squares
Between and Within
3 types of variation in ANOVA
Total Sum of Squares
Sum of Squares Between
Sum of Squares Within
F ratio Computation
Total Sum of Squares
SSt = SSb + SSw df = Total number of observations - 1
Sum of Squares Between
Reformulate SSt = SSb + SSw
OR Reformulate MSb = SSb/df
df = Number of groups - 1
MSb = Mean of square Between
Sum of Squares Within
Reformulate SSt = SSb + SSw
Or Reformulate MSw = SSw/df
df = Number of observations - Number of groups
MSw = Mean of square within
F ratio
F = MSb / MSw
Can be reformulated
F ratio determinants
df of Between and Within determine critical F values
df = 2 !!!
Check if
F ratio > F critical Value
Null hypothesis rejected
if F critical value > F ratio, we fail to reject the null hypothesis
Null Hypothesis of ANOVA
Null Hypothesis = No difference
`
Post hoc test (Duncan)
Post hoc test (Duncan)
Allows us to know where the differences are among two groups
however we require a successful one way anova test to make it work