What is an advantage of using a stem-and-leaf plot instead of a histogram? What

illusiia

illusiia

Answered question

2021-10-11

What is an advantage of using a stem-and-leaf plot instead of a histogram? What is a disadvantage?

Answer & Explanation

SkladanH

SkladanH

Skilled2021-10-12Added 80 answers

Advantage: Stem-and-leaf plots show original data values where histograms do not.
One downside of histograms is that they can easily organize data of all sizes, whereas stem-and-leaf plots cannot.

user_27qwe

user_27qwe

Skilled2023-05-09Added 375 answers

The advantage of using a stem-and-leaf plot instead of a histogram is that it provides a more detailed representation of the data, particularly for smaller data sets. In a stem-and-leaf plot, each data point is displayed individually, allowing for a direct visualization of the actual values. This level of granularity can be useful when analyzing the distribution and identifying specific data points.
On the other hand, a disadvantage of using a stem-and-leaf plot is that it can become cumbersome and difficult to interpret when dealing with larger data sets. As the number of data points increases, the stem-and-leaf plot can become overcrowded and cluttered, making it challenging to extract meaningful insights. In such cases, a histogram may be more suitable as it summarizes the data into distinct intervals, providing a clearer overview of the distribution.
In summary, the advantage of using a stem-and-leaf plot is its ability to showcase individual data points and offer detailed insights, particularly for smaller data sets. However, its disadvantage lies in its potential inefficiency and visual clutter when dealing with larger data sets, where a histogram can provide a more concise representation.
karton

karton

Expert2023-05-09Added 613 answers

An advantage of using a stem-and-leaf plot is that it provides a detailed representation of the data distribution. The stem-and-leaf plot displays each individual data point, allowing for a direct observation of the dataset's values. This level of detail enables the identification of specific data points, their frequency, and gaps in the distribution.
On the other hand, the disadvantage of using a stem-and-leaf plot can be emphasized as:
A disadvantage of using a stem-and-leaf plot is that it can become difficult to interpret for large datasets. As the number of data points increases, the stem-and-leaf plot can become cluttered and hard to read. It may also be challenging to compare multiple datasets directly using stem-and-leaf plots, especially if they have different stem values or varying ranges. In such cases, a histogram can provide a clearer visual representation and facilitate comparisons between datasets.

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