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AMDM U3 Graphs

Line Plot Quick and easy way to organize the data so that the distribution of the data can be easily seen
Line plot Every piece of data is available
Line plot Mean median and mode and range are easily determined
Line plot A working draft that can be easily used to create a pictograph or bar graph
Line plot Not practical for very large data sets
Line plot Not practical for for data with a large number or data values
Bar graph Similar to line plot but more practical for large data sets with few data values
Bar graph Exact data can be reconstructed if data have not been grouped into categories
Bar graph Distribution of data can be easily seen clusters of data gaps in data or bell shaped distribution
Bar graph Range or spread of data is easily determined
Bar graph Mode can be easily seen
Bar graph Mean and median can be determined with some effort
Bar graph Can be used to represent numerical or categorical data
Bar graph Not practical for data with a large number of data values
Bar graph Two coordinates must be read to fully understand the graph
Bar graph Data have to be tallied prior to creating graph
Bar graph Scaling , labeling , and readability need to be considered when creating this graph
Stem-and-Leaf Plot Exact data can be reconstructed
Stem-and- Leaf Plot Easier to see the shape of the data when the number of data values and size of data set are about the same
Stem-and-Leaf Plot Groups data values using their digits
Stem-and-Leaf Plot Distribution of data can easily be seen (i.e., clusters of data, gaps in data, gaps in data, or bell-shaped distribution)
Stem-and-Leaf Plot Range or spread of data is easily determined
Stem-and-Leaf Plot Mean, median, and mode can be calculated
Stem-and-Leaf Plot Back-to-back graphs of this kind can compare two different sets of data
Stem-and-Leaf Plot Not practical for very large data sets since sorting and reorganizing data can be time-consuming
Stem-and-Leaf Plot More restrictive data can histograms are since the size of their classes (groups) is based on their last digits. Histograms are not restricted to any class length
Histogram Convenient for representing large quantities of data
Histogram General distribution of data can be quickly seen
Histogram Similar to stem-and-leaf plots but without the specific data values
Histogram Size of classes is not restricted
Histogram Specific data values are lost-- data cannot be reconstructed
Histogram Appearance of the datas distribution can be manipulated depending on numbers used
Histogram Exact mean median and mode cant be determined
Pie chart Shows the part to whole relationship between data
Pie chart Clusters numerical data into groups
Pie chart Easier to see the fraction of the data satisfying certain conditions
Pie chart Specific data values are lost data cannot be reconstructed
Pie chart Exact mean median mode and range of original numerical data cannot be determined
Box & whisker plot Effective representation for large quantities of data
Box & whisker plot Range con be determined
Box & whisker plot Outliers can be revealed
Box & whisker plot Median and interquartile ranges are easily identified
Box & whisker plot Plots using different sets of data can be easily compared when graphed on the same scale
Box & whisker plot Specific data values are lost data cannot be reconstructed
Box & whisker plot Mean and mode cannot be determined
Scatterplot Shows relationship between two different variables .
Scatterplot If a pattern or trend exist within the relationship , generalizations and/or predictions can be made
Scatterplot Exact data cannot always be determined -- only approximate values will be possible at times
Scatterplot Given there are two values represented at any given point , measures of center are not informative
Line graph Shows the change between two different variables ( where often one variable may be time )
Line graph Can be misleading due to scale sensitivity
Line graph Only appropriate for displaying two variables with one an independent variable being observed exactly at one consistent intervals
Created by: Deigh