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PSYC 210 (10)
Final

# Summary for Ch 1-12 Exam

3 Pages
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School
Simon Fraser University
Department
Psychology
Course
PSYC 210
Professor
Cathy Mc Farland
Semester
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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