2.3 Displaying Quantitative Data Flashcards
Stem Plot (stem and leaf plot)
represent numerical data, the stem consists of all the digits except for the right-most digit, leaf consists of the right-most digit, can split and have multiple stems
Stem Plot Advantages and Disadvantages
Advantage: quick way to sort data, actual data values are accessible
Disadvantages: best used only with small data sets, histogram more flexible in choice of bins
Dot Plot
record data values on a number line with a dot above the number for each value observed, we can get a sense of frequency by seeing how high the dots stack up
Dot Plot Advantages and Disadvantages
Advantage: Shows individual data points, helps investigate the shape of the distribution, can see points that stand out
Disadvantages: not as common as histograms and other graphs, not great for data with to many individual values
Histograms
group data into interval, called bins (or classes) where the width of the interval equal the bin width, bars touch, the first value in each bin is recorded on the horizontal axis (lower class limit), the height of each rectangle corresponds to the count or proportion of the number of values in that bin
Histogram Advantages and Disadvantages
Advantage: good for large data sets, helps focus on the general shape of the data
Disadvantage: individual data values are not visible, distribution shape affected by change in bin width
Line graphs
use discrete (or ordinal) data in frequency table format, shows data values on x-axis, frequencies on y-axis, the frequency points are connected using line segments
Line Graph Advantages and Disadvantages
Advantage: shows trends in grouped data
Disadvantage: must have data grouped by frequencies and does not work well for continuous data
Frequency Polygons
continuous data must be in frequency table format, shows bins or classes on the x-axis, frequencies on the y-axis, frequency points are connected using line segments, combines idea of a histogram with line graphs
Time series plot
shows the data value, or statistic, on the vertical axis with time on the horizontal axis, reveals trends, cycles or other time-oriented behavior that could not be otherwise seen in the data
time series plot increments
we can look at trend over any increment of time