2. ONE-WAY ANALYSIS OF VARIANCE
• ANOVA or one-way ANOVA, is an abbreviation of
analysis of variance. It is a method used to summarize
the differences between several means and
simultaneously comparing these means in one step.
3. MEAN OF COMBINED SAMPLE
• Data from the ith sample can be summarized into
sample size ni, sample mean xi, and sample
variance s2
i . If we pool data together, the (grand)
mean of this combined sample can be calculated
from
5. • BETWEEN SUM OF SQUARES
represents the
variation or
differences between
the sample means
6. ANOVA PROCESS
1. WITHIN MEAN SQUARE 2. BETWEEN MEAN SQUARE
serves as an estimate of the
common variance σ2 as stipulated
by the one-way ANOVA model.
represents the average
variation between the k sample
means.
7. TEST STATISTIC F
• t is the test statistic for comparing the two
population means.
• when k = 2, the F test is equivalent to the two-
sided two-sample t test.