ANOVA provides a perfect opportunity to evaluate which factor has the most significant effect on a given set of data. It stands for analysis of variance just like a t-test. There are many ways through which you can do ANOVA analysis in Excel. This article will show how to do one-way ANOVA in Excel. I hope you find this article interesting and gain complete knowledge regarding one-way ANOVA.

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## What Is ANOVA Analysis?

ANOVA is known as the analysis of variance. It is a statistical method that is used to analyze variance within the dataset. After completing the analysis, an analyst usually performs extra analysis on the methodological factors that impact significantly the inconsistent nature of the data sets. In that case, you can use ANOVA which compares many data sets simultaneously to see whether there is a link between them.

## What Is One Way ANOVA?

There are two types of ANOVA: single factor and two factors. The one-way ANOVA determines whether there is a significant difference between the mean of three or more groups. It also compares the mean between groupsÂ The basic difference between one-way ANOVA and two-way ANOVA is the number of independent variables. The independent variables divide the individual groups into two or more levels. The one-way ANOVA canâ€™t tell you which specific groups are statistically different from each other but it tells which two groups are different.

## 2 Suitable Examples to Do One Way ANOVA in Excel

To do one-way ANOVA in Excel, we have taken two different examples through which you can have a complete solution. Here, we take some studentsâ€™ marks and sales amounts to do a one-way ANOVA in Excel. Before doing anything, you need to enable the **Data Analysis** tool. After that, you can apply the one-way ANOVA in Excel.

### 1. One Way ANOVA for Student Marks in Excel

For the first example, we take a dataset that includes some students and their marks in math, physics, and chemistry.

**Step 1: Enable Data Analysis ToolPak**

First, you need to enable data analysis toolpak using Excel options. Without enabling this, you canâ€™t use the data analysis option to do one-way ANOVA in Excel.

- Go to the
**File**tab in the ribbon. - Then, go to the
**MoreÂ**command. - From there, select
**Options**.

- It will open the
**Excel Options**dialog box. - Then, select the
**Add-insÂ**option. - After that, select
**Excel Add-ins**from the**ManageÂ**section. - Then, select
**Go**.

- As a result, the
**Add-ins**dialog box will appear. - Then, select
**Analysis ToolPak**from the**Add-ins AvailableÂ**section. - Finally, click on
**OK**.

- As a result, you will see the
**Data Analysis**option under the**AnalysisÂ**group.

**Step 2: Do One Way ANOVA in Excel **

In this step, we will do the one-way ANOVA in Excel. In this step, we will use the Data Analysis tool to do the one-way ANOVA in Excel.

- First, go to the
**Data**tab in the ribbon. - Then, select
**Data Analysis**from the**AnalysisÂ**group.

- It will open the
**Data Analysis**dialog box. - Then, select
**Anova: Single Factor**from the**Analysis ToolsÂ**section. - Finally, click on
**OK**.

- As a result, the
**Anova: Single Factor**dialog box. - Then, set the input range.
- Check on the
**Columns**from the**Grouped ByÂ**section. - Then, check on the
**Labels in first row**. - After that, set
**Alpha**as**05**. - We want to show our output in a new worksheet. So, select
**New Worksheet Ply**. - Finally, click on
**OK**.

- After clicking the
**OK**, the**Anova: Single Factor**will show its result in a new worksheet. See the screenshot.

**Interpretation of the Result**

In the summary table, we will find four results: **Count**, **Sum**, **Average**, and **Variance**. The **Count **section denotes the number of data of each group. The **Sum** section denotes the total value of the given data while adding them. The **Average** denotes the mean value of each group. In the summary, you can see the groups have the highest average for Chemistry and the highest variance obtained from Math.

ANOVAÂ analysis determines the null hypothesis in the data. In the ANOVA table, you will see the results of two types: **Between Groups** and **Within Groups**. In this table, ANOVA calculates **Test Statistics (F)**, **P value,** and **Critical Value (F crit)**. Before **interpreting the result**, we have to know the criteria.

- When the test statistic is greater than the critical value (
**e F>F crit**), then, it rejects the null hypothesis which means the means are different. - When the test statistics are lower than the critical value (
**e F<F crit**), then it accepts the null hypothesis which means the means are not different. - In terms of the
**P value**, if the**P value**is less than**Alpha**, it rejects the null hypothesis. - If the
**P value**is greater than**A****lpha**, it accepts the null hypothesis.

In this example, the test statistic (**1.2394**) is lower than the critical value (**3.4668**), so, it accepts the null hypothesis. In terms of the P value, the P value is greater than the Alpha, so, it also accepts the null hypothesis. That means there is no difference between the mean of the three groups.

**Read More:** **How to Interpret ANOVA Single Factor Results in Excel**

### 2. One Way ANOVA for Sales Amount in Excel

For the second example, we take a dataset that includes some salesperson and their sales amount for three different products. We want to do a one-way ANOVA to analyze these three productsâ€™ sales amounts and finally find out the required output.

**Step 1: Enable Data Analysis Toolpak**

First, you need to enable data analysis toolpak using Excel options. Without enabling this, you canâ€™t use the data analysis option to do one-way ANOVA in Excel.

- Go to the
**File**tab in the ribbon. - Then, go to the
**MoreÂ**command. - From there, select
**Options**.

- It will open the
**Excel Options**dialog box. - Then, select the
**Add-insÂ**option. - After that, select
**Excel Add-ins**from the**ManageÂ**section. - Then, select
**Go**.

- As a result, the
**Add-ins**dialog box will appear. - Then, select
**Analysis ToolPak**from the**Add-ins AvailableÂ**section. - Finally, click on
**OK**.

- As a result, you will see the
**Data Analysis**option under the**AnalysisÂ**group.

**Step 2: Do One Way ANOVA in Excel **

In this step, we will do the one-way ANOVA in Excel. In this step, we will use the Data Analysis tool to do the one-way ANOVA in Excel.

- First, go to the
**Data**tab in the ribbon. - Then, select
**Data Analysis**from the**AnalysisÂ**group.

- It will open the
**Data Analysis**dialog box. - Then, select
**Anova: Single Factor**from the**Analysis ToolsÂ**section. - Finally, click on
**OK**.

- As a result, the
**Anova: Single Factor**dialog box. - Then, set the input range.
- Check on the
**Columns**from the**Grouped ByÂ**section. - Then, check on the
**Labels in first row**. - After that, set
**Alpha**as**05**. - We want to show our output in a new worksheet. So, select
**New Worksheet Ply**. - Finally, click on
**OK**.

- After clicking the
**OK**, the**Anova: Single Factor**will show its result in a new worksheet. See the screenshot.

**Interpretation of the Result**

In the summary table, we will find four results: **Count**, **Sum**, **Average**, and **Variance**. The **Count **section denotes the number of data of each group. The **Sum** section denotes the total value of the given data while adding them. The **Average** denotes the mean value of each group. For the summary, you can see the groups have the highest average from product 3 and the highest variance obtained from Product 1.

ANOVAÂ analysis determines the null hypothesis in the data. In the ANOVA table, you will see the results of two types: **Between Groups** and **Within Groups**. In this table, ANOVA calculates **Test Statistics (F)**, **P value**, and **Critical Value (F crit)**. Before interpreting the result, we have to know the criteria.

- When the test statistic is greater than the critical value (
**e F>F crit**), then, it rejects the null hypothesis which means the means are different. - When the test statistics are lower than the critical value (
**e F<F crit**), then it accepts the null hypothesis which means the means are not different. - In terms of the
**P value**, if the**P value**is less than**Alpha**, it rejects the null hypothesis. - If the
**P value**is greater than**Alpha**, it accepts the null hypothesis.

In this example, the test statistic (**1.46**) is lower than the critical value (**3.4668**), so, it accepts the null hypothesis. In terms of the P value, the P value (**0.2538**)Â is greater than Alpha (**0.05**), so, it also accepts the null hypothesis. That means there is no difference between the mean of the three groups.

**Read More:** **How to Do Two Way ANOVA in Excel (With Easy Steps)**

## Conclusion

To do one-way ANOVA in Excel, we have shown two different examples through which you can have a clear view of how to do this. Both of these examples are fairly easy to understand and at the same time, it provides the required valuable outputs. I think we covered all the possible areas regarding the one-way ANOVA in Excel. If you have further questions, feel free to ask in the comment box. Donâ€™t forget to visit our **ExcelDemy** page.