What type of data would NOT typically fall under quantitative data?

Quantitative data is characterized by its ability to be measured and expressed numerically, which allows for statistical analysis and mathematical calculations. This type of data often includes figures that can be summed, averaged, or otherwise manipulated mathematically.

Product color descriptions do not fit the definition of quantitative data because they are qualitative in nature. They describe attributes or characteristics that are subjective and cannot be quantified in numerical terms. Colors can vary widely, and there is no inherent numerical value associated with them, making them a prime example of qualitative data.

In contrast, the other options—customer satisfaction ratings, sales figures, and market analysis statistics—are all inherently numerical and can be collected in such a way that they yield meaningful quantitative insights. Customer satisfaction ratings often use scales (for example, 1 to 10), sales figures represent specific numbers sold, and market analysis statistics include metrics like market share percentages or growth rates. Each of these can be analyzed using various statistical methods, reinforcing their classification as quantitative data.