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Two-Way ANOVA - Excel quiz

컨트롤 버튼이 '내비게이션' 모드로 변경되었습니다.
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이 집합의 용어 (15)

  • What is the main purpose of a two-way ANOVA test?
    A two-way ANOVA analyzes differences in means across two factors and tests for interaction effects between them.
  • What is the first step when conducting a two-way ANOVA?
    The first step is to test for an interaction effect between the two factors.
  • What does a significant interaction effect in two-way ANOVA indicate?
    It indicates that the two factors influence each other, making it difficult to determine which factor is responsible for differences in means.
  • What should you do if you find a significant interaction effect in two-way ANOVA?
    You should stop further testing because the results for individual factors are unreliable due to the interaction.
  • What is the null hypothesis for the interaction effect in two-way ANOVA?
    The null hypothesis assumes there is no interaction effect between the two factors.
  • How do you interpret a p-value greater than alpha (0.05) for the interaction effect?
    You fail to reject the null hypothesis, indicating no evidence of an interaction effect.
  • What are the two factors in the example problem discussed in the lesson?
    The two factors are advertising medium (social media, TV, email) and discount level (none, 20%).
  • Which Excel tool is used for two-way ANOVA analysis?
    The Data Analysis Toolpak's 'ANOVA: Two-Factor with Replication' is used.
  • What information must you provide Excel for two-way ANOVA with replication?
    You must select the input range including labels and specify the number of rows per sample for factor B.
  • Where do you find the interaction effect results in the Excel ANOVA output table?
    The interaction effect results are found in the row labeled 'Interaction,' showing the F statistic and p-value.
  • What is the next step if there is no interaction effect in two-way ANOVA?
    You test for differences in means due to each factor separately, similar to one-way ANOVA tests.
  • How do you interpret a low p-value for a factor in two-way ANOVA?
    A low p-value means you reject the null hypothesis and conclude there is a difference in means due to that factor.
  • What does the 'Columns' row in the Excel ANOVA output represent?
    The 'Columns' row represents the advertising medium factor in the analysis.
  • What does the 'Sample' row in the Excel ANOVA output represent?
    The 'Sample' row represents the discount level factor in the analysis.
  • Can both factors in a two-way ANOVA show significant differences in means independently?
    Yes, both factors can independently show significant differences in means if their p-values are less than alpha.