You are watching: Advantages and disadvantages of stem and leaf plots
Advantages/Strengths • similar to line plot but an ext practical for big data sets with couple of data worths • precise data deserve to be reconstructed if data have actually not been grouped right into categories • circulation of data have the right to be easily seen (i.e.,clusters the data, gaps in data, or bell-shaped distribution) • variety or spread out of data is easily identified • Mode(s) can be quickly seen • Mean and also median deserve to be identified with some initiative • can be supplied to represent numerical or categorical data Limitations • Not useful for data with a huge number that data worths • Two collaborates must be review to completely understand the graph • Data need to be tallied former tocreating graph • Scaling, labeling, and readability should be thought about when producing this graph
Advantages/Strengths • specific data have the right to be rebuilded • less complicated to check out the shape of the data as soon as the number of data values and also size that data collection are about the exact same • teams data values using their number • circulation of data can easily be seen (i.e., swarm of data, gaps in data, or bell- shaped distribution) • selection or spread out of data is easily established • Mean, median, and also mode have the right to be calculated • Back-to-back graphs that this kind can compare two different sets that data Limitations *Limitations* • Not useful for very huge data sets because sorting andreorganizing data deserve to be time-consuming • an ext restrictive 보다 histograms are because the dimension of theirclasses (groups) is based upon their last digits. Histograms room not restricted to any kind of class length.
Advantages/Strengths • convenient for representing big quantities that data • General circulation of data deserve to be conveniently seen • similar to stem-and-leaf plots but without the certain data worths • size of class is not minimal Limitationstations* • details data values are lost—data can not be reconstructed • appearance of the data"s distribution can be manipulated depending upon numbering scale supplied • specific mean, median, mode, and selection cannot be determined
Advantages/Strengths • mirrors the part-to-whole relationship between data • swarm numerical data into teams • easier to watch the fraction of the data satisfying specific conditions Limitationstions* • specific data values are lost—data cannot be rebuilded • precise mean, median, mode, and range of original numerical data can not be determined
Advantages/Strengths • efficient representation for large quantities of data • variety can be identified • Outliers can be revealed • Median and also interquartile arrays are easily figured out • Plots using different sets that data deserve to be easily contrasted when graphed top top the exact same scale Limitationsmitations* • particular data values are lost—data can not be rebuilded • Mean and also mode cannot be determined
Advantages/Strengths • shows relationship between two different variables • If a pattern or trend exists in ~ the relationship, generalizations and/or predictions deserve to be do Limitationsons* • specific data cannot always be determined—only approximate values will be possible at times • given there space two values represented at any given point, steps of center are not informative
Advantages/Strengths • shows the readjust between two various variables (where frequently one variable may be time) Limitationss* • can be misleading because of scale sensitivity • Only suitable for displaying 2 variables v one an live independence variable being observed specifically once at constant intervals
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