# How to Calculate Mean and Standard Deviation in Excel

### 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.

### 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
• μ 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

### 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 σ (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

For both equations,

• μ is the arithmetic mean
• X is the individual value
• N is the size of the population
• σ is the standard deviation

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

### Example 1 – Mean Deviation Calculation with Formula

Steps:

• Organize your dataset.

• Apply the following formula to count the number of values.
`=COUNT(D5:D7)`

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

• Enter the following formula to calculate the Mean.
`=AVERAGE(D5:D7)`

The AVERAGE function calculates the mean in the range D5:D7.

• Calculate the Median using the following formula:
`=MEDIAN(D5:D7)`

The MEDIAN function calculates the median in the range D5:D7.

• Calculate the absolute value of the difference between the share value and the mean value.
`=ABS(C15-\$D\$10)`

C15 = Share value
D10 = Mean Value

• Calculate the absolute value of the difference between the share value and the median value.
`=ABS(C14-\$D\$11)`

C14 = Share value
D11 = Median Value

• AutoFill the remaining cells.

• Calculate the Sum of the absolute value of (X-μ) with the formula:
`=SUM(D14:D16)`

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

• Calculate the Sum of the absolute value of (X-M) using the formula below:
`=SUM(E14:E16)`

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

• Apply the following formula to calculate Mean Deviation From Mean:
`=D18/D9`

D18 = Sum of the absolute value of (X-μ)
D9 = Number of Share Values

• Apply the following formula to calculate the Mean Deviation from the Median:
`=D19/D9`

D19 = Sum of the absolute value of (X-M)
D9 = Number of Share Values

### Example 2 – Standard Deviation Calculation with Formula

Steps:

• Organize your dataset.
• Apply the following formula to calculate Total number of data (N):
`=COUNT(D5:D9)`

The COUNT function returns the number of frequencies in cell D5:D9.

• Apply the following formula to calculate the Arithmetic Mean (μ):
`=AVERAGE(D5:D9)`

The AVERAGE function calculates the mean in the range D5:D9.

• Calculate the Deviation about the mean (X-μ) with the formula below:
`=D5-\$F\$12`

D5 = frequency value
F12 = Arithmetic Mean

• AutoFill the remaining cells.

• Calculate the Square of the deviation about the mean (X-μ)^2 with the formula below:
`=E5^2`

• AutoFill the remaining cells.

• Find the Sum of the square of the deviation about the mean (X-μ)^2 with the formula:
`=SUM(F5:F9)`

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

• Measure Population variance (σ^2) with the following formula:
`=F13/F11`

F13 = Sum of the square of the deviation about the mean (X-μ)^2
F11
= Total number of data

`=F14^0.5`

F14 defines Population variance.

• To find Sample Variance (σ^2), enter the following formula:
`=F13/(F11-1)`

F13 = Sum of the square of the deviation about the mean (X-μ)^2
F11
= Total number of data

• Enter the following formula to get the Standard Deviation from Sample Variance:
`=F16^0.5`

F16 represents Sample Variance.

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

### Method 1 – Mean Deviation From Mean

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

The formula is:

`=AVEDEV(C5:C9)`

### Method 2 – Population Standard Deviation

We can calculate the Population Standard Deviation with the STDEV.P function.

The formula is:

`=STDEV.P(C5:C9)`

### Method 3 – Sample Standard Deviation

We can calculate Sample Standard Deviation with the STDEV.S function.

The formula is:

`=STDEV.S(C5:C9)`

## Calculating Different Types of Standard Deviations in Excel

Function 1 – STDEV.P Function

To calculate Standard deviations with the STDEV.P function, use the following formula:

`=STDEV.P(D5:D9)`

Function 2 – STDEVPA Function

To calculate Standard deviations with the STDEVPA function, use the following formula:

`=STDEVPA(D5:D9)`

Function 3 – STDEV.S Function

To calculate Standard deviations with the STDEV.S function, use the following formula:

`=STDEV.S(D5:D9)`

Function 4 – STDEVA Function

Using the STDEVA function to calculate Standard deviations takes into account logical values too.

Use the following formula:

`=STDEVA(D5:D9)`

## Related Articles

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