Create Date: June 13, 2024
Last Modified Date: December 10, 2024
Calculating z-score can be done with the following variables:
Your z-score will be a single number. This number may not be a whole number but can be sometimes. This number represents how many standard deviations the data point is from the mean. If the data point is less than the mean the z-score will be a negative number. Inversely, if the data point is greater than the mean it will be a positive result. The closer the z-score is to zero, the closer the data point is to the mean.
If you are trying to easily find the z-score value of something than you are in the right place. Calculating z-score with this tool is very simple. The steps involved with using this tool include:
Let's say we just got out grade back on our midterm and we want to have a better understanding of how we did. We want to see how closely we aligned with the middle of the pack of grades. We can use this tool to find the z-score to help us understand this more. We got a 90 on the test. The mean score was 85 and the standard deviation is 15. We can enter these numbers into this tool and hit calculate to get our z-score. When we do we get a z-score result of .33, meaning we are about a third of a standard deviation from the mean score.
Z-Scores are used to standardize data, compare datasets, and identify outliers. They are essential in fields such as statistics, finance, and health sciences.
Z-Scores are useful when you need to compare data points across distributions with different means and standard deviations or when identifying trends and outliers.