Excel is a powerful tool for analyzing data and handling large datasets. It is sometimes necessary to perform statistical calculations in order to interpret a large dataset. If you are looking for special tricks to calculate 95 percent confidence interval in Excel, youâ€™ve come to the right place. There are numerous ways to calculate a 95 percent confidence interval in Excel. This article will discuss the details of these methods. Letâ€™s follow the complete guide to learn all of this.

**Table of Contents**hide

## Download Practice Workbook

Download this practice workbook to exercise while you are reading this article. It contains all the datasets in different spreadsheets for a clear understanding. Try it yourself while you go through the step-by-step process.

## What Is Confidence Interval?

**Confidence intervals** determine the probability of a mean value lying within a range of values. In a sample, it measures the degree of certainty and uncertainty. Confidence levels can be classified as upper or lower. A narrow interval indicates a more accurate prediction.

The **confidence interval** may calculate using the standard error. The lower the error the better prediction may take place. If we take a larger sample, it will provide far more accurate results. For example, we would like to make an app for a large population. You canâ€™t take feedback from all of them. In that case, we need to take some people and their opinions. These opinions can be used to make the app better. The confidence interval can deal with the situation and gives us a range through which we can identify which people of which age are satisfied with the app. We can deliver the app to those certain people who can give their feedback after using it. Finally, we can assume the overall scenario of the population.

Unlike hypothesis testing, the confidence interval is not time-consuming. And it is far easier to interpret. To calculate the confidence interval, we can use the following formula.

Here, **CI** = Confidence Interval for Infinite Population

**Zc** = Z Value for Confidence Level

**S** = Sample Standard Deviation

**n** = Number of Elements in a Sample

## What Does 95 Percent Confidence Interval Mean?

The 95 confidence interval shows values that are within 95% of the mean value of your dataset. Say, you have a mean value of 60 for your dataset. For a 95 percent confidence interval, you calculated the confidence value of your dataset using the significance level of 0.05. Then, the confidence interval result at **90 confidence interval** for this whole scenario will be 57.5-62.5.

## What Is the Z Value for 90%,95%, and 98% Confidence Intervals?

**The NORMSINV function** in Excel calculates left-aligned values for z values. To calculate Z scores for 90 %, 95%, and 98%, you have to follow the following process.

- At first, calculate the mid-value 1 by writing the following formula.

`=(100-B5)/(100*2)`

- Next, press
**Enter**.

- Then, calculate the mid-value 2 by writing the following formula.

`=1-C5`

- Next, press
**Enter**.

- Then, calculate the z value by writing the following formula.

`=NORMSINV(D5)`

- Next, press
**Enter**. - Therefore, you will get the Z value for different percentage confidence.

## 4 Suitable Methods to Calculate 95 Percent Confidence Interval in Excel

The following section will use four effective and tricky methods to calculate the 95 percent confidence interval in Excel. This section provides extensive details on these methods. You should learn and apply these to improve your thinking capability and Excel knowledge. We use the **Microsoft Office 365** version here, but you can utilize any other version according to your preference.

### 1. Applying Conventional Formula

Here, we will demonstrate how to calculate a 95 percent confidence interval based on using the conventional formula. By using this method, we are able to calculate the confidence interval based on the basic formula. We need to calculate the standard deviation, z value, and a number of elements in a sample to accomplish this. We will use **the AVERAGE function** to calculate the mean value of the sample. Then, we use **the STDEV.S function** to determine the standard deviation.

The following dataset contains the student ID and their exam score.

Follow these steps to see how we can calculate the 95 percent confidence interval in Excel.

**ðŸ“Œ Steps:**

- First of all, select the cell you want to put the value in (cell
**F4**). - Then write down the following formula in it.

`=AVERAGE(C5:C12)`

- Next, press
**Enter**. - Consequently, you will get the mean value in cell
**F4**.

- Afterward, select cell
**F5**. - Then write down the following formula in it.

`=STDEV.S(C5:C12)`

- Next, press
**Enter**. - Therefore, you will get the standard deviation value in cell
**F5**.

- Next, you need to find out the z value for the confidence level. For a 95% confidence level, the z value is
**1.96**. If you have another confidence level, then, you need to find it using the z value chart. - Then, write down the total sample size. Here, we take a total of eight sample sizes.
- Next, we will evaluate the confidence value using the conventional formula.
- To do this, select cell
**F8**. - Then, write down the following formula.

`=F6*(F5/SQRT(F7))`

- Next, press
**Enter**. - As a consequence, you will get the confidence value in cell
**F8**.

- As a final step, we need to add or subtract the confidence value from the mean value in order to get the confidence interval value. For the lower confidence value, subtract the confidence value from the mean value and add the confidence value with the mean value to calculate the upper confidence interval.

**Read More: ****How to Calculate Confidence Interval for Population Mean in Excel**

### 2. Using CONFIDENCE Function

Using **the CONFIDENCE function**, we can perform the following method. In this method, we will calculate the mean, standard deviation, and alpha to get the desired confidence value. We will use **the AVERAGE function** to calculate the mean value of the sample. Then, we use **the STDEV.S function** to determine the standard deviation.

You need to follow these steps to see how we can calculate the 95 percent confidence interval in Excel.

**ðŸ“Œ Steps:**

- First of all, select the cell you want to put the value in (cell
**F4**). - Then write down the following formula in it.

`=AVERAGE(C5:C12)`

- Next, press
**Enter**. - Consequently, you will get the mean value in cell
**F4**.

- Afterward, select cell
**F5**. - Then write down the following formula in it.

`=STDEV.S(C5:C12)`

- Next, press
**Enter**. - Therefore, you will get the standard deviation value in cell
**F5**.

- After that, you need to calculate alpha by utilizing the 95% confidence level. To get alpha, we need to subtract a 95% confidence level from 1.
- Next, select cell
**F6**and write down the following formula.

`=1-0.95`

- Next, press
**Enter**. - Therefore, you will get the significance value (alpha) in cell
**F6**.

- Then, write down the total sample size. Here, we take a total of eight sample sizes.
- Next, we will evaluate the confidence value using the conventional formula.
- To do this, select cell
**F8**, and write down the following formula.

`=CONFIDENCE(F6,F5,F7)`

- Next, press Enter.
- As a consequence, you will get the confidence value in cell
**F8**.

- As a final step, we need to add or subtract the confidence value from the mean value in order to get the confidence interval value. For the lower confidence value, subtract the confidence value from the mean value and add the confidence value with the mean value to calculate the upper confidence interval.

**Read More: How to Find Upper and Lower Limits of Confidence Interval in Excel**

### 3. Utilizing CONFIDENCE.T Function

In the third method, we will use the **CONFIDENCE.T **function to illustrate how we calculate the 95 percent confidence interval in Excel. In this method, we will calculate the mean, standard deviation, and alpha to get the desired confidence value. We will use **the AVERAGE function** to calculate the mean value of the sample. Then, we use **the STDEV.S function** to determine the standard deviation.

You need to follow these steps to see how we can calculate the 95 percent confidence interval in Excel.

**ðŸ“Œ Steps:**

- First of all, select the cell you want to put the value in (cell
**F4**). - Then write down the following formula in it.

`=AVERAGE(C5:C14)`

- Next, press
**Enter**. - Consequently, you will get the mean value in cell
**F4**.

- Afterward, select cell
**F5.** - Then write down the following formula in it.

`=STDEV.S(C5:C14)`

- Next, press
**Enter.** - Therefore, you will get the standard deviation value in cell
**F5.**

- After that, you need to calculate alpha by utilizing the
**95%**confidence level. To get alpha, we need to subtract a**95%**confidence level from 1. - Next, select cell
**F6**and write down the following formula.

`=1-0.95`

- Next, press
**Enter**. - Therefore, you will get the significance value (alpha) in cell
**F6**.

- Then, write down the total sample size. Here, we take a total of
**ten**sample sizes. - Next, we will evaluate the confidence value using the conventional formula.
- To do this, select cell
**F8**, and write down the following formula.

`=CONFIDENCE.T(F6,F5,F7)`

- Next, press
**Enter**. - As a consequence, you will get the confidence value in cell
**F8**.

- To get the confidence interval value, we need to add or subtract the confidence value from the mean value. For the lower confidence value, subtract the confidence value from the mean value and add the confidence value with the mean value to calculate the upper confidence interval.

### 4. Use of Data Analysis Tool

In this last method, we will use the data analysis toolpak. At first, we need to enable** the data analysis tool **from Excel Add-ins before following the method. After that, we will be capable of using this tool.

You need to follow these steps to see how we can calculate the 95 percent confidence interval in Excel.

**ðŸ“Œ Steps:**

- First of all, to apply the data analysis procedure, go to the
**Data**tab on the ribbon. - Then, select
**Data Analysis**from Analyze group.

- Then, the
**Data Analysis**dialog box will appear. - From there, select
**Descriptive Statistics**. - Next, click on
**OK**.

- It will take us to the
**Descriptive Statistics**dialog box. - Then, select the I
**nput Range**from your dataset. - Set the
**Output options**as**New Worksheet Ply**. - Then, check on
**Summary statistics**and**Confidence Level for Mean**. - Finally, click on
**OK**.

- As a consequence, we will get the following summary where the data analysis tool calculates the confidence value. See the screenshot.

**Read More:** **How to Calculate Z-Score with 95 Confidence Interval in Excel**

## ðŸ’¬ Things to Remember

âœŽ When finding the standard deviation, you may encounter two similar functions named **STDEV.P** and **STDEVPA.**Use the **STDEV.P** function here as it ignores the non-numerical data.

The standard_dev argument has to be greater than zero to avoid the #**NUM! error**.

âœŽ In Excel 2010, you will find the **CONFIDENCE** function as **CONFIDENCE.NORM** function.

âœŽ The value of the alpha argument inside the **CONFIDENCE** function can not be less than or equal to 0. Else, it would show **#NUM!** error.

âœŽ The **CONFIDENCE** function only takes numeric values. Otherwise, it will show an error.

âœŽ The size argument must be greater than one to avoid the #NUM! Error. If the size argument is not an integer, it would be truncated. The **CONFIDENCE** function will show **#VALUE!** Error, if any argument is non-numeric.

âœŽ In the recent Excel version, the T function takes the place of the **CONFIDENCE** function.

âœŽ The confidence interval is equal to the plus or minus value of the mean value and confidence value in Excel.

## Conclusion

Thatâ€™s the end of todayâ€™s session. I strongly believe that from now, you may be able to calculate 95 percent confidence interval in Excel. If you have any queries or recommendations, please share them in the comments section below.

Donâ€™t forget to check our website **Exceldemy.com** for various Excel-related problems and solutions. Keep learning new methods and keep growing!