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Problems and Key Terms of Statistics - Review for Exam 4 | PSY 305, Exams of Statistics

Material Type: Exam; Professor: Bui; Class: Statistics; Subject: Psychology; University: University of La Verne; Term: Unknown 1989;

Typology: Exams

Pre 2010

Uploaded on 08/17/2009

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PSY 305 Page 1 of 2
Statistics Review Sheet
Review for Exam 4 (Chapters 13, 14)
Chapter 13
Key terms
Analysis of variance (ANOVA)
Between-treatments variability
Within-treatments variability
Treatment effect
Individual differences
Experimental error
F-ratio
Error term
Factor
Levels
Mean square (MS)
Eta squared
Post hoc tests
Scheffe test
Tukey’s HSD test
Understand the basic purpose for analysis of variance and the logic that underlies this
statistical procedure
Perform an analysis of variance to evaluate the data from a single factor, independent-
measures research study
Understand when post tests are necessary and the purpose they serve
Be familiar with the post test techniques such as Tukey’s HSD and the Scheffe test
Compute eta squared to measure effect size for sample means in ANOVA
Chapter 14
Key terms
Individual differences
Between-subjects variability
Error variability
Two-factor design
Matrix
Cells
Main effect
Interaction
Understand the logic underlying ANOVA for a repeated-measures study
Perform an ANOVA to evaluate the mean differences from a single-factor, repeated-
measures research study
Understand the concept of a two-factor research design
Understand the concepts of main effects and interactions and be able to recognize and
describe these
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PSY 305 Page 1 of 2 Statistics Review Sheet Review for Exam 4 (Chapters 13, 14) Chapter 13 Key terms Analysis of variance (ANOVA) Between-treatments variability Within-treatments variability Treatment effect Individual differences Experimental error F -ratio Error term Factor Levels Mean square ( MS ) Eta squared Post hoc tests Scheffe test Tukey’s HSD test Understand the basic purpose for analysis of variance and the logic that underlies this statistical procedure Perform an analysis of variance to evaluate the data from a single factor, independent- measures research study Understand when post tests are necessary and the purpose they serve Be familiar with the post test techniques such as Tukey’s HSD and the Scheffe test Compute eta squared to measure effect size for sample means in ANOVA Chapter 14 Key terms Individual differences Between-subjects variability Error variability Two-factor design Matrix Cells Main effect Interaction Understand the logic underlying ANOVA for a repeated-measures study Perform an ANOVA to evaluate the mean differences from a single-factor, repeated- measures research study Understand the concept of a two-factor research design Understand the concepts of main effects and interactions and be able to recognize and describe these

PSY 305 Page 2 of 2 Statistics Review Sheet Conduct a two-factor ANOVA to evaluate the mean differences from a two-factor, independent-measures research study