Last Updated on October 31, 2023 by Jake Sheridan
In this tutorial, you will learn how to calculate Z Score in Google Sheets.
A z-score in statistics indicates how many standard deviations a result deviates from the mean.
Once ready, we’ll get started by utilizing real-world examples to show you how to calculate Z Score in Google Sheets.
How To Calculate Z Score In Google Sheets
Here is the formula to calculate Z Score.
z = (X – μ) / σ
Let’s dive deeper into the parts of this formula.
X is a single raw data value.
μ is the mean of the dataset.
σ is the standard deviation of the dataset.
Before we begin we will need a group of data to calculate Z Score in Google Sheets.
First, you need to have a clean and tidy group of data to work with.
In this example, we want to calculate the Z Score for the data group. To do that, we need to calculate the mean and standard deviation for this group of data. Then, we will need to insert the formula to calculate the Z Score.
Here are the respective formulas.
Mean = AVERAGE(A2:A15)
Standard Deviation = STDEV(A2:A15)
Z Score = (A2 – $D$1)/D2
Once you have pressed ‘Enter’, you will get something like this.
To apply the formula to all of the data, you can simply drag the right-bottom corner downwards.
That’s all there is to it. You are welcome to copy the example spreadsheet below to see how it is done. The most crucial lesson is to enjoy yourself while doing it.
Example Spreadsheet: Make a copy of the example spreadsheet
In this tutorial, I covered how to calculate the difference in Google Sheets. Want more? Check out all the Google Sheets Tutorials.
More ways to use calculations in Google Sheets:
- Standard Deviation
- Standard Error
- P Value
- Days Between Dates
- How To Find Slope
- Correlation Coefficient
- Find Difference Between Two Columns
- Find Highest Value
- Trendline Equation
- Find Slope
- Find Y Intercept
- Keep A Running Total
- Increase Cell Value By 1
- How To Tally