Z-Wert-Rechner (mit Perzentil)
Dieser Rechner bestimmt, wie viele Standardabweichungen ein Wert vom Mittelwert entfernt ist, z = (x − μ)/σ. Er gibt auch den Anteil einer Normalverteilung unterhalb und oberhalb des Werts an, sodass du einen z-Wert in ein Perzentil umrechnen kannst.
Ergebnis
Gib Werte ein und tippe auf Berechnen, um das Ergebnis zu sehen.
Formel
Subtract the mean, then divide by the standard deviation.
Rearranged, to find the value for a given z-score.
So benutzt du diesen Rechner
- Enter the value, the mean and the standard deviation (which must be positive).
- Press Calculate to see the z-score and the percentages below and above it.
Gelöste Beispiele
A test score of 85 when the mean is 70 and σ = 15
85 − 70 = 15, and 15 ÷ 15 = 1, so z = 1.
The score is 1 standard deviation above the mean: about 84.13% of a normal distribution is below it.
A value below the mean: x = 62, μ = 70, σ = 4
62 − 70 = −8, and −8 ÷ 4 = −2.
z = −2: only about 2.28% of values are lower.
z = 1.5: x = 130, μ = 100, σ = 20
(130 − 100) ÷ 20 = 1.5.
About 93.32% of values are below 130.
Häufige Fehler
- Dividing by the variance instead of the standard deviation.
- Subtracting the wrong way round, which flips the sign of z.
- Using the percentages for data that is far from normally distributed.
Häufig gestellte Fragen
What does a z-score tell you?
How many standard deviations a value is above (positive) or below (negative) the mean. z = 0 is exactly the mean; z = 2 is unusually high.
How do you turn a z-score into a percentile?
Use the normal distribution (a z-table): the percentage below z is the percentile. z = 1 is about the 84th percentile.
What is a good z-score?
It depends on the context. About 68% of normal data has z between −1 and 1, and about 95% between −2 and 2.