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A box plot summarises 5 key indicators of a distribution: the median, minimum, maximum and the lower and upper quartiles. The first of these is a measure of the central tendency whereas the others, in pairs, give measures of the spread as well as skewness.

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Q: How does a box plot help when displaying a distribution of data?
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How does a stem and leaf plot show the distribution of data?

the data set is simply the most frequently occurring value.


What type of graph is best suited for displaying the range and frequency distribution of a student's test scores while still showing each individual test score?

A histogram would be the best type of graph for displaying the range and frequency distribution of a student's test scores while still showing each individual test score. Histograms provide a visual representation of the distribution of data by grouping the scores into intervals or bins and displaying the frequency of scores within each bin. This allows for a clear depiction of the range of scores and the frequency with which each score occurs, while still retaining the individual data points for reference.


Why should you use stem and leaf plots in data sorting?

it is simply another way to plot data and look at the distribution. It is similar to a histogram except the leaves are horizontal instead of vertical. The advantage is in a stem and leaf plot you have listed all the values, unlike a histogram which gives you a range of values the data fall into.


Why use stem and leaf plots?

it is simply another way to plot data and look at the distribution. It is similar to a histogram except the leaves are horizontal instead of vertical. The advantage is in a stem and leaf plot you have listed all the values, unlike a histogram which gives you a range of values the data fall into.


What is the purpose of a stem and leaf plot?

to simply organise your numbers.ajm If you can make a histogram, a dotplot, or even a boxplot; there is no reason to do a steam and leaf plot. It's the worst graph. With a stem and leaf graph, you can see the distribution of data points, and determine whether it's normal distribution or not. As mentioned above, there are better graphs for doing that, though.