# What is Z-Score Table? Formula, Example, and Chart

**What is Z-Score Table?**

The number of standard deviations from the mean is defined as the Z-score. A data point represents the number of standard deviations below or above the mean. A raw score in the form of a Z-score is also known as a standard score, and it can be plotted on a normal distribution curve. The Z-score ranges from -3 to +3 standard deviations.

A Z-score may be used to calculate the difference or distance between a value and the mean value. When a variable is “standardized,” its mean becomes zero and its standard deviation becomes one.

**What is Z-Score Formula?**

It is a method of comparing test findings to those of a “normal” population.

If X is a random variable with a mean (μ) and standard deviation (σ), its Z-score may be determined by subtracting the mean from X and dividing the result by the standard deviation.

**\(z= \frac{(x- \mu )}{ \sigma }\)**

μ is the mean value

x is the test value

σ is the standard deviation

**Z-Score Interpretation**

Here’s how to read z-scores:

- A z-score less than 0 denotes an element that is less than the mean.
- A z-score larger than 0 denotes an element that is greater than the mean.
- A z-score of 0 indicates that the element is mean.
- A z-score of 1 indicates an element that is one standard deviation above the mean; a z-score of 2 represents an element that is two standard deviations above the mean; and so on.
- A z-score of -1 denotes an element that is one standard deviation below the mean; a z-score of -2 denotes an element that is two standard deviations below the mean; and so on.
- If the set has a high number of items, about 68% of the elements have a z-score between -1 and 1; almost 95% have a z-score between -2 and 2; and approximately 99% have a z-score between -3 and 3.

**Standard Normal Probabilities**

**Example for Z-Score**

**Let’s understand this better with an example**

**Example:** The mean of the test scores of students in a class test is 60, with a standard deviation of 12. What is the most likely percentage of students who scored higher than 85?

**Solution:** The provided data’s z score is,

z= (85-60)/12=2.08

According to the z-score table, the proportion of the data included inside this score is 0.9812.

This indicates that 98.12% of the students have test scores below 85, while the percentage of students who have test scores over 85 is (100-98.12) % = 1.88%.

**Final Verdict**

It’s all about the Z score; want to learn more about it in a **personalized learning** session? Join **Tutoroot** and learn in a way you like.

**FAQ’s**

**What are the Types of Z Score Tables?**

Positive Z Score Table: This indicates that the observed value is greater than the mean of all values.

Negative Z Score Table: This indicates that the observed value is less than the mean of all values.