STAT3012 Lecture Notes - Lecture 14: Dfs Furniture, Design Matrix, Data Set

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Lecture 14 – One-way ANOVA
One-way ANOVA was already covered in S2x12 and is therefore assumed knowledge.
However, in this course we derive all underlying quantities more carefully and it is
expected that the various formulae are understood.
New concepts
One-way ANOVA
Within and between sum of squares
Sum constraint
Treatment constraint
Contrasts
Confidence intervals for contrasts
Applied Linear Models: Lecture 14 1
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New topic – One-way ANOVA
Back to the first half of the 20th century...
Scope
A one-way ANOVA can be used for comparing tdifferent treatments when it is
reasonable to assume that the treatment only affects the mean response (but not
the entire distribution!).
Applied Linear Models: Lecture 14 2
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Example – Stimulating effects of caffeine
Data set from Lecture 1: Does caffeine stimulation affect the rate at which
individuals can tap their fingers?
N= 30 male students randomly allocated to t= 3 groups of n= 10 students
each:
Group 1: zero caffeine dose
Group 2: low caffeine dose
Group 3: high caffeine dose
Allocation was blind (subjects did not know their caffeine dosage).
Two hours after treatment, each subject tapped fingers as quickly as possible
for a minute. Number of taps recorded.
Applied Linear Models: Lecture 14 3
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