PSY 2073 Lecture Notes - Lecture 1: Analysis Of Variance, Caffeine

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25 Mar 2018
1) Lead in
2) Why ANOVA
3) Sources of Variance
4) The F Ratio
- Underlying distribution now
Amount of Caffeine
4 oz. 8 oz. 12 oz.
DV: Levels of Alertness
↑ Good = More Alert
*** if you do multiple t-tests you are increasing chances of an alpha error***
Post hoc (After the Fact): A.K.A Protective t-test
- Compare two groups ( pair comparisons)
- Does not increase alpha error
ANOVA (analysis of variance)
- t^2 w/ only two groups equal the ANOVA value
- ANOVA does not increase alpha error!
k= # of levels of IV (# of groups you have)
n= # of scores per group (per level of IV)
N= total # of scores (k*n)
T( total amount of variability) = Between group variability variability within group
(denominator) Within Group variability=
individual differences (reaction differences to caffeine)
measurement error (always present)
(numerator) Between group variability=
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