Which of the following is not one of the three questions typically asked about data dispersion in quantitative analysis?

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Dispersion is about how spread out the data are and the scale of measurement, so the typical questions focus on the nature of the data and the range of possible values. You want to know whether the metric yields discrete data or continuous data, and what the possible range of performance on the metric is. These aspects directly define the spread and limits you can expect in the data.

Whether the data are normally distributed, on the other hand, concerns the shape of the distribution—how data cluster around the center and the symmetry of the tails. That relates to distribution form rather than the spread or the allowable values, so it isn’t a primary dispersion question. Therefore, the statement about data being normally distributed is not one of the standard dispersion-focused questions.