**About Z Ratio Calculator (Formula)**

The Z Ratio Calculator is a tool used to calculate the z-score or the standard score of a given data point relative to the mean and standard deviation of a given dataset. The z-score is a measure of how many standard deviations a data point is from the mean of the dataset, and is useful for comparing data points across different datasets with different means and standard deviations.

**The formula for calculating the z-score or z-ratio is relatively simple:**

**ZR = (X – M) / SD**

where ZR is the Z Ratio or the z-score, X is the data point being evaluated, M is the mean of the dataset, and SD is the standard deviation of the dataset.

To calculate the z-score, the data point is first subtracted from the mean of the dataset, and the resulting value is then divided by the standard deviation of the dataset. This process normalizes the data point to the same scale as the mean and standard deviation, making it possible to compare the data point to the rest of the dataset in terms of standard deviations.

For example, if we have a dataset with a mean of 50 and a standard deviation of 10, and a data point of 60, we can calculate the z-score as follows:

**ZR = (60 – 50) / 10 = 1**

This tells us that the data point is one standard deviation above the mean of the dataset. A z-score of 0 indicates that the data point is at the mean of the dataset, a z-score of 1 indicates that the data point is one standard deviation above the mean, and a z-score of -1 indicates that the data point is one standard deviation below the mean.

The Z Ratio Calculator makes it easy to quickly calculate the z-score of a data point, given the mean and standard deviation of a dataset. It is commonly used in statistical analysis and research to compare data points across different datasets with different means and standard deviations.