Which of the following is not considered a dimension of data when visualizing qualitative and quantitative variables?

• A. $\text{Spread}$
• B. $\text{Shape}$
• C. $\text{Color}$
• D. $\text{Center}$

Answer: (C)

Verified step by step guidance

1. Understand that when visualizing data, especially quantitative data, common dimensions or characteristics analyzed include 'Center', 'Spread', and 'Shape'. These describe the distribution of the data.
2. 'Center' refers to a measure of central tendency, such as the mean or median, indicating where the data is centered.
3. 'Spread' describes the variability or dispersion of the data, such as range, variance, or standard deviation.
4. 'Shape' refers to the overall form of the data distribution, including aspects like skewness and modality.
5. Recognize that 'Color' is not a statistical dimension of the data itself but rather a visual attribute used in graphs to differentiate categories or highlight information; it is not a dimension describing the data's distribution.