ANOVA- Analysis of Variance

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7 Terms

1
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What are some tests that can be run after running an ANOVA test?

  • Levene’s test: Checks whether two or more groups have equal variances, verifying the homogeneity of data


2
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What is the importance of F value?

  • Statistical test that compares variation between groups with variation within groups; larger value suggests that group differences are less likely to occur by chance


3
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What is the importance of F ratio?

  • Ratio of the two mean square values, so if the F value is close to 1 then there is no difference between the groups.

  • A large F raio means that the variation among group means is more than you’d expect to see by chance.


4
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What is required before running an ANOVA test?

  • ANOVA should be used when there are more than two populations being investigated

  • Data should be continuos

  • Data should be derived randomly and the significances are determined by the difference between the means and variance around the means


5
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What does a large or small p value mean?

Large P Value

  • means that the observed differences could easily occur by random sampling

  • not the same as saying that the true means are the same, you just don’t have compelling evidence that they differ

Small P Value

  • means that you can reject the null hypothesis and that there is statistical difference between the groups


6
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What are some examples of a post-hoc test?

  • Tukeys- compares every mean with every mean

  • Bonferroni- compares every mean to the control mean


7
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What is a degree of freedom?

  • Independent value that can differ without influencing its constraints