IAI Actuarial Core Principles · Actuarial Statistics · Exploratory data analysis
Which feature is a genuine advantage of a stem-and-leaf plot over a histogram for a small data set of 30 observations?
A stem-and-leaf plot keeps the individual data values while still displaying the shape of the distribution. Each leaf records an actual digit, so the original data can be read back, which a histogram loses by grouping. It is practical only for small data sets.
- AIt retains the individual data values while showing the shapeCorrect
- BIt handles unequal class widths automatically
- CIt works for very large data sets of millions of points
- DIt displays the relationship between two variables
- It shows the data in order of collection over time
Explanation
A stem-and-leaf plot shows shape like a histogram but keeps the actual digits, so values can be recovered. It is impractical for large data sets, does not show bivariate relationships, and does not show time order.
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