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.
the data set is simply the most frequently occurring value.
Stem-and-leaf plot
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.
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.
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.
line plot
the data set is simply the most frequently occurring value.
A frequency distribution plot.
A scatter plot. Most other graphs will summarise some of the data.
Use a stem and leaf plot
a graphic way to display the median, quartiles, and extremes of a data set on a number line to show the distribution of the data.
If you have between about 15 and 50 pieces of data, a stem-and-leaf plot is not tedious to make and will illustrate the distribution of the values. Once you have made a stem-and-leaf plot, it is easy to locate the median.
Stem-and-leaf plot
Stem-and-leaf plot
stem and leaf plot
stem-and-leaf plot
A distribution function or a cumulative distribution function. The spread and range are also immediately apparent from a box [and whiskers] plot.