Graphs

Use suitable graphs, with titles and axis labels, to summarize important data.

Graphs are figures that present numeric data. As with tables, the graph type depends upon data type:

  1. Both variables interval/ordinal suggests a line graph, e. g. height by age can be plotted as a line graph, as both are continuous. If a causal interaction is implied, the causal variable is the horizontal X-axis and the dependant variable is the vertical Y-axis, e. g. time as the X axis and height as the Y axis. Show specific data values as points on the graph, or use box-whisker plots where the box shows the middle 50% of cases, and the whiskers show the 25th and 75th percentiles. Show outliers outside this range as asterisks.

  2. An interval variable affected by a categorical causal variable suggests a vertical bar graph, where each bar is one category. If there are many categories, use a horizontal bar graph.

  3. For categories that add up to 100%, use a pie graph, even if there are only a few categories.

If there is too much detail use a legend to explain each symbol.


Tags: Well Written, Quantitative, Results

Example(s)

(Use a descriptive name, e. g. "ITExample". Or click on an existing collection and edit it.)

MyWiki: Element/Graphs (last edited 2008-11-13 04:32:15 by GuyKloss)