Central Tendendcy

#statistics #math #theory #centraltendency #estimative

• The first dimension of the data
• Use a unique value to represent a collection/set of values
  • This unique value can be used as baseline for other models
• Strong tendency or weak tendency is dependent on how dispersed are the data
• Some measures of central tendency are:
  • average/mean: Can suffer from outliers if they have extreme values
  • median: It is robust, avoid outliers because use only the middle values
  • trimmed mean: It is possible to remove the extremes, avoiding outliers as well, but using part of the population
  • mode: Can be used if the frequency has a peak
  • weighted mean: when you have different group and want to assign different weights for them. Ex: a sensor not working well can receive small weights

Reference

• Wikipedia
• Bruce, 2020, p4-8