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A z-score (standard score) measures how many standard deviations a data point is from the mean. Z-scores normalise different datasets to the same scale, enabling comparisons.

Trinn-for-trinn guide

  1. 1z = (x − μ) / σ
  2. 2x is the data point, μ is the mean, σ is the standard deviation
  3. 3z = 0 means at the mean; z = 1 means one std dev above

Løste eksempler

Inndata
x=85, μ=75, σ=10
Resultat
z = 1.0
85 is 1 std dev above average
Inndata
x=60, μ=75, σ=10
Resultat
z = −1.5
60 is 1.5 std devs below average

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