К основному контенту
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Statistics

Калькулятор Z-оценки

Calculate the standard score (z-score) for a data point

Z-Score1.5000 Посмотреть результаты

Результаты в реальном времени

Z-Score
1.5000
Percentile
93.32%
Percentage Above
6.68%

Поддерживаемые данные

ВводОписание
Mode

single · compare

Raw Value (x)Наблюдение для конвертации в z-показатель
Mean (μ)The mean of the population or sample
Standard Deviation (σ)Must be greater than 0
Raw Value 2 (x₂)Второе значение из другого распределения
Mean 2 (μ₂)
Standard Deviation 2 (σ₂)
Формула
Z-Score Formula:
z = (x - μ) / σ

Where:
- x is the data point value
- μ is the mean of the population or sample
- σ is the standard deviation of the population or sample

The z-score represents how many standard deviations a data point is from the mean.
A positive z-score indicates the data point is above the mean, while a negative z-score indicates it is below the mean.

Finding a value from a z-score:
x = μ + (z × σ)

The standard normal distribution has a mean of 0 and a standard deviation of 1.
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