## Z-Score Calculator

Calculate the z-score of a value given a mean and standard deviation.

**Frequently Asked Questions (FAQs):**

**What is a Z-score, and why is it important?**- A Z-score, also known as a standard score, measures how many standard deviations a data point is away from the mean of a distribution. It's crucial in statistics for comparing and standardizing different data points, regardless of their original units.

**What is the formula for calculating the Z-score?**- The formula for calculating the Z-score for a data point
**x**, given the mean**μ**and the standard deviation**σ**, is:

- Where
**x**is the data point,**μ**is the mean, and**σ**is the standard deviation.

- The formula for calculating the Z-score for a data point
**How do I interpret Z-score values?**- Positive Z-scores indicate that the data point is above the mean, while negative Z-scores indicate it's below the mean. A Z-score of 0 means the data point is equal to the mean. The magnitude of the Z-score shows how far the data point deviates from the mean in terms of standard deviations.