The origin of the stem and leaf plot is associated with Tukey, J.W (1977). Using a back-to-back stem and leaf plot we can compare the same characteristics into different groups. More than one data set can be compared by using multiple stem and leaf plots. Similarly, a stem and leaf plot is similar to a histogram but is usually provide more information for a relatively small data set. The advantage of the stem and leaf plot (display) over a frequency distribution is that we do not lose identity (individuality) of each observation. Did not know (sure) how the values within each class are distributed.Lose of the exact identity of each value (individuality of observation vanishes).Organizing the data into a frequency distribution has a disadvantage of It provides information about the symmetry, concentration, empty sets and outlier of the observed data set. The stems are located along the vertical axis, and the leaf values are stacked against each other along the horizontal axis.Ī stem and leaf display is similar to a frequency distribution with more information. Stem values are the leading digit(s) and leaves are trailing digit. In this statistical technique (to present a set of data), each numerical value is divided into two parts It is customary to sort the values within each stem from smallest to largest. The left side of the vertical line contains the stems while the right side of the vertical line contains the leaves. A basic stem and leaf display contains two columns separated by a vertical line. Stem and leaf plot are often used in exploratory data analysis, and help to illustrate the different features of the distribution of the observed data. Before performing any statistical calculation (even the simplest one), data should be tabulated or plotted especially if they are of quantitative nature and are few in number (few observations) to visualize the shape of the distribution.Ī stem and leaf plot is a way of summarizing the set of data measured on an interval scale in condensed form.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |