In Excel, Deviation is a measure of how spread out your data is. A large deviation means that your data is more spread out; a small deviation means it’s more clustered. There are many kinds of deviation in Excel. In this article, I am going to show how to calculate the mean and standard deviation in Excel. I hope it will be very helpful for you if you are searching for the process of mean and standard deviation calculation.

## Introduction to Mean Deviation

### What Is Mean Deviation?

**Mean Deviation** is a statistical measure of variability. It is calculated as the average of the absolute deviations of the data from the mean. To calculate the mean deviation in Excel, first, calculate the mean of your data set using the **AVERAGE function**.

Then, use the **A****BS ****function** to take the absolute value of the difference between each data point and the mean. Finally, take the average of those absolute values using the **AVERAGE function.**

The data values are concentrated closer together when the mean absolute deviation has a low value. A high mean absolute deviation score indicates that the data values are more widely distributed.

### Arithmetic Formula to Calculate Mean Deviation

The mean deviation can be calculated as the mean deviation from the mean or the mean deviation from the median. If in your calculation the arithmetic mean is subtracted from the individual values then it is called the mean deviation from the mean. If the subtracted item is the median then it is called the mean deviation from the median. The formulas for calculating the mean deviation are given below.

**Mean Deviation from Mean**

Where,

**X**is each observation**Î¼**is the arithmetic mean**N**is the total number of observations

**Mean Deviation from Median**

Where,

**X**is each observation**M**is the Median of the observations**N**is the total number of observations

## Introduction to Standard Deviation

### What Is Standard Deviation?

**Standard Deviation** is a statistical measure of dispersion, or how spread out data is. It is calculated as the square root of the variance. The variance is the average of the squared differences from the mean. Its symbol is Ïƒ (the greek letter sigma).

### Arithmetic Formula to Calculate Standard Deviation

To calculate the standard deviation, you need to calculate the variance first as the standard deviation is the square root of the variance. The standard deviation can be of 2 kinds. They are population standard deviation and sample standard deviation. The formula for calculating the standard deviation is given below.

**Population Standard Deviation**

**Sample Standard Deviation**

Here for both equations,

**Î¼**is the arithmetic mean**X**is the individual value**N**is the size of the population**Ïƒ**is the standard deviation

## Basic Examples to Calculate Mean and Standard Deviation in Excel

### Mean Deviation Calculation with Formula

In order to calculate **Mean Deviation **in Excel, we just need to follow the following steps sequentially.

** Steps**:

- Organize a dataset first. Here, I have taken a dataset on share values in different months of the year.

- Next, apply the following formula to count the number of values.

`=COUNT(D5:D7)`

Here, The **COUNT function **counts the number of values in cell **D5:D7**.

- Input the following formula to calculate the
**Mean**.

`=AVERAGE(D5:D7)`

Here, the** AVERAGE function **calculates the mean in the range **D5:D7**.

- Calculate the
**Median**using the following formula:

`=MEDIAN(D5:D7)`

Here, the **MEDIAN function **calculates the median in the range **D5:D7**.

- Now, calculate the absolute value of the difference between the share value and the mean value.

`=ABS(C15-$D$10)`

Here,

**C15 **= Share value

**D10 **= Mean Value

- Use
**Fill Handle**to**AutoFill**the rest cells.

- Similarly, calculate the absolute value of the difference between the share value and the median value.

`=ABS(C14-$D$11)`

Here,

**C14 **= Share value

**D11 **= Median Value

**AutoFill**the rest cells.

- After that, calculate the
**Sum of the absolute value of (X-Î¼).**For that, the formula is:

`=SUM(D14:D16)`

The **SUM function **here adds the value in the cells **D14:D16**.

- Next, calculate the
**Sum of the absolute value of (X-M)**using the below-mentioned formula:

`=SUM(E14:E16)`

The **SUM function **here adds the value in the cells **E14:E16**.

- Along with this, apply the following formula to calculate
**Mean Deviation From Mean**:

`=D18/D9`

Here,

**D18 **= Sum of the absolute value of (X-Î¼)

**D9 **= Number of Share Values

- Lastly, apply the following formula to calculate the
**Mean Deviation**From the**Median**:

`=D19/D9`

Here,

**D19 **= Sum of the absolute value of (X-M)

**D9 **= Number of Share Values

Thus, we can calculate both **Mean Deviation** from **Mean **and **Median**.

### Standard Deviation Calculation with Formula

We just need to follow the following steps sequentially in order to calculate Standard Deviation in Excel.

** Steps**:

- Firstly, organize a dataset with related information. Here, I have arranged examination marks in
**Roll**,**Name**, and**Mark (X)Â**columns. - Next, apply the following formula to calculate
**Total number of data (N)**:

`=COUNT(D5:D9)`

Here, the **COUNT function **returns the number of frequencies in cell **D5:D9**.

- Now, apply the following formula to calculate the
**Arithmetic Mean (Î¼)**:

`=AVERAGE(D5:D9)`

Here, the** AVERAGE function **calculates the mean in the range **D5:D9**.

- After that, calculate the
**Deviation about the mean (X-Î¼)**with the formula mentioned below:

`=D5-$F$12`

Here,

**D5 **= frequency value

**F12 **= Arithmetic Mean

- Then,
**AutoFill**the remaining cells.

- Again, calculate the
**Square of the deviation about the mean (X-Î¼)^2**with the formula mentioned below:

`=E5^2`

Here, I simply squared the value in cell **E5 **which is a **Deviation of the mean (X-Î¼)**.

**AutoFill**the rests.

- Afterward, find the
**Sum of the square of the deviation about the mean (X-Î¼)^2**with the formula:

`=SUM(F5:F9)`

Here, The **SUM function **added the value in cells **F5:F9**.

- Along with that, measure
**Population variance (Ïƒ^2)**with the following formula:

`=F13/F11`

Here,

**F13 **= **Sum of the square of the deviation about the mean (X-Î¼)^2
F11** =

**Total number of data**

- Next, apply the following formula to calculate
**Standard Deviation from Population Variance**:

`=F14^0.5`

Here, **F14 **defines **Population variance**.

- To find
**Sample Variance (Ïƒ^2)**, input the following formula:

`=F13/(F11-1)`

Here,

**F13 **= **Sum of the square of the deviation about the mean (X-Î¼)^2
F11** =

**Total number of data**

- Finally, input the following formula to have
**Standard Deviation from Sample Variance**:

`=F16^0.5`

Here,** F16** represents** Sample Variance**.

**Read More: **How to Calculate Standard Deviation with IF Conditions in Excel

## Calculating Mean and Standard Deviation Using Built-in Excel Functions

There are some built-in functions in Excel to calculate **Mean and Standard Deviation**. They are shown below:

### 1. Mean Deviation From Mean

We can calculate the **Mean Deviation **From the** Mean **with the **AVEDEV function**.

The formula is:

`=AVEDEV(C5:C9)`

** **

### 2. Population Standard Deviation

With the **STDEV.P function**, we can calculate the **Population Standard Deviation**.

The formula is:

`=STDEV.P(C5:C9)`

### 3. Sample Standard Deviation

With the **STDEV.S function,** we can calculate **Sample Standard Deviation**.

The formula is:

`=STDEV.S(C5:C9)`

Thus, with the help of the built-in functions, we can simply calculate **Mean and Standard Deviation in Excel**.

## Calculating Different Types of Standard Deviations in Excel

There are a few functions that can be used to calculate **Standard deviations**. They are:

**1. STDEV.P Function**

We can calculate **Standard deviations **with the **STDEV.P function.** In order to calculate the entire population, the **STDEV.P Function** is used.

For this, we need to follow the following formula:

`=STDEV.P(D5:D9)`

**2. STDEVPA Function**

We can also calculate **Standard deviations **with the **STDEVPA function.**

For this, we need to follow the following formula:

`=STDEVPA(D5:D9)`

**Read More:** How to Calculate Standard Deviation of y Intercept in Excel

**3. STDEV.S Function**

With the help of the **STDEV.S function,** we can calculate **Standard deviations **too. This is used for the sample dataset, not the entire population.

For this, we need to follow the following formula:

`=STDEV.S(D5:D9)`

**4. STDEVA Function**

Using the **STDEVA function,** we can calculate **Standard deviations **too. It takes into account logical values too.

For this, we need to follow the following formula:

`=STDEVA(D5:D9)`

## Practice Section

For more expertise, you can practice here.

**Download Practice Workbook**

## Conclusion

In this article, I have tried to explain how to calculate the mean and standard deviation in Excel. It will be a matter of great pleasure for me if this article could help any Excel user even a little. For any further queries, comment below. You can visit our site for more articles about using Excel.

**Related Articles**

- How to Calculate Standard Deviation of a Frequency Distribution in Excel
- Calculate Percentile from Mean and Standard Deviation in Excel
- How to Calculate Uncertainty in Excel

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