Presentation of Statistical Data 2

CONSTRUCTION OF FREQUENCY DISTRIBUTIONS – EXAMPLE: WEIGHT OF STUDENTS IN A FOURTH-GRADE

55, 51, 57, 63, 64, 55, 66, 70, 65, 62, 72.3, 51.5, 60.7, 52.3, 53.1, 54.7, 65.2, 62.7, 60.8, 55.2, 55.4, 57.7, 58.1, 60.4, 65.

CLASS=6 (STURGESS TYPE=5.41022)

CLASS WIDTH=3.6

 The graph of a grouped distribution is made with the Histogram.

FREQUENCY POLYGON

• How to present frequency distributions

FREQUENCY POLYGON: CONSTRUCTION

• We note the frequency of the class above its midpoint

• We join the consecutive points with straight lines.

• Virtual frequency classes of 0 are considered at each end of the distribution values ​​to close the polygon

FREQUENCY POLYGON: USEFULNESS

• They give a general idea of ​​the shape of the distribution.

FREQUENCY POLYGON: OBSERVATIONS

• In the same way, RELATIVE FREQUENCY POLYGONS are created (they allow a visual comparison of 2 distributions by placing one relative frequency polygon on top of another.

SUMMARIZED RELATIVE FREQUENCY POLYGON (OR SPIKE): A way of presenting frequency distributions.

SUMMARIZED RELATIVE FREQUENCY (ONE CLASS): It is the percentage of observations that are smaller than the upper limit of the class.

SUMMARIZED RELATIVE FREQUENCY (ONE CLASS): CALCULATION: It is the sum of the observations in this class and in all previous classes.

SUMMARIZED RELATIVE FREQUENCY POLYGON: CONSTRUCTION

• The cumulative relative frequency is marked above the upper limit of the class.

• Consecutive points are joined by straight lines.

SUMMARY RELATIVE FREQUENCY POLYGON: USEFULNESS

• The percentage of observations that fall below any value on the horizontal axis can be approximately determined.

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