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Labels for the categories of the qualitative variable are shown on the horizontal axis of the graph.
For a qualitative variable, a frequency distribution shows the number of data values in each qualitative category.
Container type is a qualitative variable, however, and must be assigned numerical values if it is to be used in a regression study.
If the beverage could be placed in glass bottles, plastic bottles, or cans, it would require two dummy variables to properly represent the qualitative variable container type.
In general, k - 1 dummy variables are needed to model the effect of a qualitative variable that may assume k values.
Fisher's test for qualitative variable or Wilcoxon's test for quantitative analysis was used.
This test was used because gender is a binary qualitative variable, and the morphometric variables are normally distributed quantitative variables.
In this study, it is the qualitative variable (i.e., the treated conditions of the sample) that is of interest.
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Gender and marital status are qualitative variables.
Categorical variables are called qualitative variables.
Qualitative variables are presented as number (percentage).
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