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ANOVA
analysis of variances
I = number of group
J = observation number in WITHIN group (2nd number in the subscript)
PART 1
sources of VARIATION (VARIATION in and out of the groups)
sum of squares BETWEEN (ssb)
sums of squares WITHIN (ssw)
each observation is taken into account
=
→ sums of squares TOTAL (SST)
ssb + ssw = sst
with the use of grand mean

PART 2
sum of squares is used for the mean of squares
SSB and/or SSW
mean square for both = MSB and MSW

PART 3
sum of squares and mean squares → F test statistic

F DISTRIBUTION
one way ANOVA table

ANOVA table example

null hypothesis: mean viral load is the same for all three groups
alternative hypothesis: there is at least one inequality among the means null. At least one of the group mean viral loads is different
find the between and within groups:

calculate the t statistic:

conclusion/interpretation:
