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What advantage does preparing a stem-and-leaf display have over grouping a data set using a frequency distribution? Give one example.

Short Answer

Expert verified
Stem-and-leaf displays maintain the original data points for visual representation while frequency distributions lose this data. Therefore, stem-and-leaf displays have an advantage if there is a need to view or show the original data set as compared to using a frequency distribution.

Step by step solution

01

Define frequency distribution

A frequency distribution is a tabular arrangement of data by classes or groups along with their corresponding frequency or count. Being in table format, it provides an overview of all possible values, and their counts.
02

Define stem-and-leaf display

A stem-and-leaf display is another data representation technique that might be considered as a form of histogram. It's used to portray quantitative data in a graphical format similar to a histogram, making it more user-friendly. With a stem-and-leaf display, one can easily see the distribution of data and the central tendency.
03

Compare frequency distribution and stem-and-leaf display

While frequency distributions offer the advantage of easy data arrangement, they unfortunately lose the actual data points. With frequency distributions, the original data cannot be retrieved while stem-and-leaf displays retain the original data and provide a graphical representation of it.
04

Give an example

For instance, if we use a dataset like [1, 2, 2, 3, 4, 4, 4, 5], frequency distribution would summarize as: Value of 1 occurs 1 time, Value of 2 occurs 2 times, Value of 3 occurs 1 time, Value of 4 occurs 3 times, Value of 5 occurs 1 time. When using a stem-and-leaf display, we would have: \[1|1\] (for '1' occurs 1 time); \[2|22\] (for '2' occurs 2 times); \[3|3\] (for '3' occurs 1 time); \[4|444\] (for '4' occurs 3 times); \[5|5\] (for '5' occurs 1 time). The second representation is more visual and shows the exact data values.

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Most popular questions from this chapter

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