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What type of data is required for performing One-Way ANOVA?


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To perform a One-Way ANOVA, you need categorical independent variables that divide the data into groups, along with a continuous dependent variable that you want to compare across those groups. This helps determine if there are any statistically significant differences between the means of the groups.

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One-Way ANOVA requires continuous data for the dependent variable, which should be normally distributed within each group. Additionally, the independent variable should be categorical with two or more levels (groups). The data should also meet the assumption of homogeneity of variances, meaning that the variances among the groups should be roughly equal.

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For performing One-Way ANOVA, the following types of data are required:

  1. Categorical Independent Variable: This variable should have two or more groups or levels (e.g., treatment groups).
  2. Continuous Dependent Variable: This variable should be measured on a continuous scale (e.g., test scores, weight).

Additionally, the data should meet certain assumptions, such as normality and homogeneity of variances, for valid results.



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