In an experiment, data can be categorized into quantitative and qualitative types. Quantitative data consists of numerical measurements that can be analyzed statistically, such as heights, weights, or temperatures. Qualitative data, on the other hand, includes non-numerical observations, such as descriptions of behaviors, colors, or textures. Both types of data are crucial for drawing conclusions and understanding the effects of the experimental variables.
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