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5.3

Recognizing Data Variability

July 9, 2025
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Maryam Syed

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Min Read

AI Summary

Recognizing data variability means identifying how spread out or close together the data values are. Using the Spread Check Method, you can determine if a data set has small variability (numbers are similar) or large variability (numbers differ greatly).

Recognizing Data Variability

Recognizing data variability means understanding how spread out or clustered data is. In simpler words, it is seeing if data is close together or far apart.

 

Spread Check Method

  • Small variability: Numbers are close together.

  • Large variability: Numbers are spread far apart.

 

Example


  • Data Set A: 10, 10, 10, 11

    • Data Set A has small variability (numbers are similar)

  • Data Set B: 5, 15, 20, 25

    • Data Set B has large variability (big differences)

Key Terms
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