Standard Normal Formula:
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The standard normal value (Z-score) represents how many standard deviations an element is from the mean. It allows comparison of values from different normal distributions by standardizing them.
The calculator uses the standard normal formula:
Where:
Explanation: The formula converts any normal distribution to the standard normal distribution with mean 0 and standard deviation 1.
Details: Z-scores are crucial in statistics for probability calculations, hypothesis testing, and comparing results from different normal distributions.
Tips: Enter your value (X), the mean (μ), and standard deviation (σ). Standard deviation must be greater than 0.
Q1: What does a Z-score of 0 mean?
A: A Z-score of 0 means the value is exactly at the mean of the distribution.
Q2: What is considered an unusual Z-score?
A: Typically, Z-scores below -2 or above 2 are considered unusual (about 5% of values in a normal distribution).
Q3: Can Z-scores be negative?
A: Yes, negative Z-scores indicate values below the mean.
Q4: How are Z-scores used in real life?
A: They're used in standardized testing, quality control, medical measurements, and financial risk assessment.
Q5: What's the relationship between Z-scores and percentiles?
A: Z-scores can be converted to percentiles using the standard normal distribution table or function.