• z scores act like a ruler; they place data on a standard scale.
  
  
• z scores express the distance of a single score from the mean in standard deviation units.
  
  
• If data are normally distributed, z scores can be easily turned into percentages.
  
  
• We can use z scores to identify or cut off specific percentages/areas of a distribution. This is useful for hypothesis testing.

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