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# Summary for Ch 1-12 Exam

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Simon Fraser University

Psychology

PSYC 210

Cathy Mc Farland

Fall

Description

Q u i c k R e v i e w – 3 r d E x a m P a g e | 1
Science article
2
Large t at 37, r only 3%
( )
r = predictability = proportionate reduction in error = = MS between MS within
( )
High d = high power
2
Large d = small r
r is a good effect size for ANOVA because it is the percent total variation among scores that is
accounted for by which group the participant is in
( ) ( ) ( )
Between df = # groups – 1
Within df = total N – 1
Row df = # rows – 1
Column df = # columns – 1
Sample means will vary less if they come from less variable populations.
( ) ⁄
( ) ⁄
Null = true = within variance = large
F = statistically significant = between-variance is larger than within-variance
F = not statistically significant = closer to 1
Three F’s in a two-way ANOVA
Truncate graph = negatively affect r
Lengthen graph = positively affect r
( )( )
Y predict = a person’s predicted score on the criterion variable
a = regression constant = point where the regression line intercepts the y axis
b = slope = regression coefficient = how much change in y occurs for every increment of x Q u i c k R e v i e w – 3 r d E x a m P a g e | 2
x = score
Predictor variable = x
Criterion variable = y
Linear prediction rule: To predict a person’s score on a criterion vari

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