Chapter Ten - Analysis of Variance:
One-Way Classification
Chapter
Objectives
- Identify the independent and dependent variables in a onw-way
ANOVA
- Explain the rationale of ANOVA
- Define F and explain its relationship to t
- Compute sums of squares, degrees of fredom, mean squares, and
F for an ANOVA
- Construct a summary table of ANOVA results
- Interpret the F value for a particular experiment and
explain what the experiment shows
- Distinguish between a prior i and post hoc
tests
- Use the Tukey Honestly Significant Difference (HSD) test to
make all pairwise comparisons
- List and wxplain the assumptions of ANOVA
- Calculate and interpret f, an effect size index
Chapter Oultine
- Rationale of ANOVA
- More New Terms
- Sums of Squares
- Mean Squares and Degrees of Freedom
- Calculation and Interpretation of F Values Using the
F Distribution
- Schedules of Reinforcement - A Lesson in Persistence
- Comparisons Among Means
- Assumptions of the Analysis of Variance
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