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DATA ANALYSIS. GRAPHS Graphs are easy to read, and highlight distribution’s shape. The are useful because they show the full range of variation and identity data anomalies that might be in need of further study. Most common are bar charts, histograms, and frequency polygon.

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data analysis
DATA ANALYSIS

GRAPHS

  • Graphs are easy to read, and highlight distribution’s shape. The are useful because they show the full range of variation and identity data anomalies that might be in need of further study.
  • Most common are bar charts, histograms, and frequency polygon.
slide2
Bar chart – contains solid bars separated by spaces. It is a good tool for displaying the distribution of variables measured at the nominal level and other discrete categorical variables.There is a gap between each of the categories.
slide5
Histograms – bars are adjacent, are used to display the distribution of quantitative variables that vary along a continuum that has no necessary gaps.
slide7
Frequency Polygon—continuous line connects the points representing the number or percentage of cases with each value. This is an alternative to the histogram when the distribution of quantitative, continuous variable must be displayed.
slide10
Important Guidelines Regarding Graphs
  • Begin the graph of a quantitative variable at 0 on both axes.
  • Always use bars of equal width.
  • The two axes (X and Y) should be of approximately equal length.
  • Avoid chart junk that can confuse the reader and obscure the distribution’s shape.
slide12
FREQUENCY DISTRIBUTION
  • A frequency distribution displays the number, percentage (the relative frequencies), or both of cases corresponding to each of a variable’s values or group of values.
death penalty statutes 1993
Death Penalty Statutes 1993

Source: Kathleen Maguire and Ann L. Pastore, eds., Sourcebook of Criminal Justice Statistics. 1994. U.S. Department of Justice, Bureau of Justice Statistics. Washington, D.C.: U.S. Government Printing Office, 1995, pp. 115-116.

creating a frequency distribution
Creating a Frequency Distribution

Frequency

1

1

9

4

12

Total N 27

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creating a frequency distribution1
Creating a Frequency Distribution

Minimum Age Frequency

14 1

15 1

16 9

17 4

18 12

Total N 27

slide16
The components of the frequency distribution should be clearly labeled, with a title, a stub (labels for values of the variable), a caption (identifying whether the distribution includes frequencies, percentages or both).
slide17
Frequency distribution can provide more precise information than a graph about the number and percentage of cases in a variable’s categories.
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