Final answer:
Plant height is quantitative data because it is numeric and can be measured to any level of precision. This contrasts with flower color, bird species, and fish gender, which are qualitative, involving non-numeric characteristics or attributes.
Step-by-step explanation:
Among the options provided, plant height is the type of data considered quantitative. There are two main categories of data: qualitative and quantitative. Qualitative data, also known as categorical data, involve non-numeric characteristics or attributes, such as flower color, bird species, or fish gender. On the other hand, quantitative data are numeric and can be further categorized as either quantitative discrete or quantitative continuous. Quantitative discrete data are numeric data that can only take on certain values, often whole numbers, like the number of correct answers on a quiz. Quantitative continuous data can take on any value within a range, like weights of sumo wrestlers or plant height, which can be measured to any level of precision needed.
Examples of quantitative discrete data include the number of times per week, the number of pairs of shoes you own, and the number of classes you take per school year. Examples of quantitative continuous data include duration (amount of time), the distance from your home to the nearest grocery store, and weights of sumo wrestlers. In contrast, flower color, bird species, fish gender, and the colors of the houses are examples of qualitative data because they describe attributes that aren't numeric.