In this tutorial, you will learn how to calculate P Value in Google Sheets.
The likelihood of receiving outcomes from a statistical hypothesis test that are at least as extreme as the actual results, assuming the null hypothesis is true, is known as the p-value in statistics. The p-value provides the minimal level of significance at which the null hypothesis would be rejected as an alternative to rejection points. The alternative hypothesis is more likely to be supported by stronger evidence when the p-value is lower.
Once ready, we’ll get started by utilizing real-world examples to show you how to calculate P Value in Google Sheets.
How To Calculate P Value In Google Sheets
Before we begin we will need a group of data to calculate P Value 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 P Value for the data group. To do that, we will need to insert this formula =T.TEST(A2:A10,B2:B10,2,2).
Once you have pressed ‘Enter’, you will get something like this.
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.