While working with Microsoft Excel, sometimes, we have to calculate the T critical value. Calculating the T critical value in Excel is an easy task. This is a time-saving task also. Today, in this article, we’ll learn four quick and suitable steps to find T critical value in Excel effectively with appropriate illustrations.

**Table of Contents**Expand

## Introduction to T Critical Value

The T critical value is a number to which your T-value is compared. In general, you can reject the null hypothesis if your computed T value in a test is greater than your T critical value. In a T-Test, however, the statistic is merely one measure of significance. The p-value should also be taken into account.

You will be able to find the T critical value in Excel when you know the probability and the degree of freedom. You can apply the **T.INV** function for the left-tailed test to find the T critical value in Excel. The **T.INV** function is,

=**T.INV(probability, deg_freedom)**

Where,

**Probability:**The probability is the significant level that has been used.**Deg_freedom:**The deg_freedom is the degree of freedom.

You can also use **the T.INV.2T function** for the two-tailed test to find the T critical value in Excel. The **T.INV.2T** function is,

=**T.INV.2T(probability, deg_freedom)**

Where

**Probability:**The probability is the significant level that has been used.**Deg_freedom:**The deg_freedom is the degree of freedom.

## How to Find T Critical Value in Excel: 4 Easy Steps

Let’s assume we have an Excel worksheet that contains information about probability and degree of freedom. The probability and the degree of freedom are given in Column **C**. From our dataset, we will find the **T **critical value in Excel. We can easily find the critical value in Excel by using **the T.INV **and **T.INV.2T Functions**, and so on. You will use **the T.INV function** to calculate the **T **critical value for the **left-tailed test**. You will also apply **the T.INV.2T function** to calculate the **T **critical value for the **two-tailed test**. Here’s an overview of the dataset for today’s task.

### Step 1: Create Dataset with Parameters

In this portion, we will create a dataset to find the **T ****critical value in Excel**. We use the **T.INV and T.INV.2T** functions to find the T critical value. Both functions have two arguments. So we need a dataset that has the value of **probability **and the **degree of freedom**, and we also need another extra column to find the T critical value. Let’s say, we have the value of probability is 0.05 and the degree of freedom is 36 to calculate the T critical value. We will create a dataset with a heading named “ **Calculation of T critical value**”. Hence, our dataset is like the below screenshot.

### Step 2: Find the T Critical Value for the Left-Tailed Test

In this step, we will calculate the **T ****critical value** which is an easy task. This is time-saving also. We will use **the T.INV function** to calculate the T critical value for the left-tailed test. Let’s follow the instructions below to find the T critical value for the left-tailed test!

- First of all, select a cell. We will select cell
**C8**for the convenience of our work.

- After selecting cell
**C8**, write down the**INV**function in that cell. The**T.INV**function is,

`=T.INV(C4,C5)`

- Where
**C4**is the**probability**,**C5**is the**deg_freedom**of the**INV**function.

- Further, simply press
**ENTER**on your keyboard. As a result, you will get**-1.688297714**as the return of the**INV**function which is the**T critical value.**

### Step 3: Determine T Critical Value for Right-Tailed Test

In this portion, we will calculate the T critical value using the **ABS **and **T.INV **functions. This is a time-saving task also. We will use the **ABS** and **T.INV **functions to calculate the T critical value for the right-tailed test. Let’s follow the instructions below to find the T critical value for the right-tailed test!

- First, select a cell. We will select cell
**C9**for the convenience of our work.

- After selecting cell
**C9**, Type the**ABS**and**INV**functions in that cell. The**ABS**and**T.INV**functions are,

`=ABS(T.INV(C4,C5))`

**Formula Breakdown:**

- Where
**C4**is the**probability**,**C5**is the**deg_freedom**of the**INV**function. **INV(C4,C5)**is the number of**the ABS function**which returns a**positive integer value**.

- Hence, simply press
**ENTER**on your keyboard. As a result, you will get**688297714**as the return of the**ABS**and**T.INV**functions which is the**T critical value.**

### Step 4: Perform a Two-Tailed Test to Find the T Critical Value

Last but not least, we will calculate the **T ****critical value** using **the T.INV.2T function**. This is an easy task. This is time-saving also. We will use **the T.INV.2T function** to calculate the T critical value for the two-tailed test. Let’s follow the instructions below to find the T critical value for the two-tailed test!

- First, select a cell. We will select cell
**C10**for the convenience of our work.

- Hence, write down the
**INV.2T**function in that cell. The**T.INV.2T**function is,

`=T.INV.2T(C4,C5)`

- Where
**C4**is the**probability**,**C5**is the**deg_freedom**of the**INV.2T**function.

- Further, simply press
**ENTER**on your keyboard. As a result, you will get**028094001**as the return of the**T.INV.2T**function which is the**T critical value**that has been given in the below screenshot.

## Things to Remember

👉 If the probability is less than zero or greater than or equal to 1 then we will not find out the T critical value in Excel. That is the limitation of probability.

👉** #NUM!** error happens when the value of **probability** and the **degree of freedom **are invalid.

👉 **#DIV/0!** error happens when a value is divided by **zero(0)** or the cell reference is **blank**.

**Download Practice Workbook**

Download this practice workbook to exercise while you are reading this article.

## Conclusion

I hope all of the suitable methods mentioned above to find T critical value will now provoke you to apply them in your Excel spreadsheets with more productivity. You are most welcome to feel free to comment if you have any questions or queries.

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