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Economics · Ch 3 — Organisation of Data

Conclusion

3.7

Conclusion

Data from primary and secondary sources arrive raw and unclassified, so the step after collection is to classify them for analysis — because classification brings order to what is otherwise unmanageable.

Note

Recap

  • Classification brings order to raw data.
  • A Frequency Distribution shows how the different values of a variable are distributed in different classes along with their corresponding class frequencies.
  • Either the upper class limit or the lower class limit is excluded in the Exclusive Method.
  • Both the upper and the lower class limits are included in the Inclusive Method.
  • In a Frequency Distribution, further statistical calculations are based only on the class mark values, instead of values of the observations.
  • The classes should be formed in such a way that the class mark of each class comes as close as possible, to a value around which the observations in a class tend to concentrate.

The main threads of the chapter:

  • Classification arranges raw data into groups on some criterion, saving effort and revealing structure.
  • A frequency distribution shows how the values of a variable spread across classes, each with its frequency.
  • In the exclusive method one limit (upper or lower) is excluded from a class; in the inclusive method both limits are included, with an adjustment to restore continuity.
  • After grouping, calculations rest only on class marks, not on the original observations (the accepted loss of information).
  • Classes should be formed so each class mark lies as close as possible to where its observations concentrate — the reason unequal intervals are sometimes preferred.
  • Continuous data use class intervals; discrete data use a frequency array; two variables together are shown in a bivariate frequency distribution.

With these techniques you can construct a frequency distribution for both continuous and discrete variables.

Think About It

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