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Two-Way ANOVA - Excel definitions

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  • Two-Way ANOVA
    Statistical method analyzing the influence of two factors and their interaction on group means within a dataset.
  • Interaction Effect
    Combined influence of two factors where their joint impact on means differs from their individual effects.
  • Factor
    Categorical variable representing a condition or grouping, such as advertising medium or discount level.
  • Level
    Specific category within a factor, like social media, TV, or email for advertising medium.
  • Null Hypothesis
    Default assumption stating no effect or difference exists, such as no interaction or no mean difference.
  • P-Value
    Probability measure used to decide whether to reject the null hypothesis at a chosen significance level.
  • Alpha Level
    Threshold probability, often set at 0.05, determining the cutoff for statistical significance.
  • Replication
    Use of multiple observations for each group combination, increasing reliability of ANOVA results.
  • Source of Variation
    Component in ANOVA output identifying where differences in means may originate, such as factors or interaction.
  • F Statistic
    Ratio comparing variance between groups to variance within groups, used to assess significance in ANOVA.
  • Data Analysis Toolpak
    Excel add-in providing automated statistical calculations, including ANOVA summary tables.
  • Means
    Average values for each group or combination, compared to detect differences across factors.
  • One-Way ANOVA
    Statistical test comparing means across groups for a single factor, used when no interaction is present.
  • Summary Table
    Excel output displaying statistics like sums, averages, variances, and ANOVA results for interpretation.
  • Hypothesis Test
    Procedure for evaluating assumptions about population parameters using sample data and statistical evidence.