Python comes with a built-in statistics module. This will help us to perform the statistical calculations very easily.

The following are the commonly used statistical functions.

### Arithmetic Mean

Arithmetic mean is the average of a group of values. The mathematical equation is

Mean = Sum of group of values / Total number of values in the group

**Mean vs Average:** What’s the Difference?

**Answer: **Both are same. No difference

Suppose we have a list of values as shown below.

values = [1,2,3,4,5,6,7,8]

For calculating the mean, without using any built-in function, we have to use the following snippet of the code

values = [1,2,3,4,5,6,7,8]
sum = 0
for value in values:
sum += value
mean = sum/len(values)
print("Sum -->:", sum)
print("Total Count-->:", len(values))
print("Arithmetic Mean-->:", mean)

The above program involves multiple steps. Instead of writing the entire logic, we can easily calculate the mean using the following code snippet

import statistics
values = [1,2,3,4,5,6,7,8]
print("Arithmetic Mean--> ", statistics.mean(values))

### Arithmetic Mode

Arithmetic mode refers to the most frequently occurred value in a data set. Mode can be calculated very easily using the **statistics.mode()** function

import statistics
values = [1,2,2,2,2,2,2,1,2,3,4,5,2,3,4,5,6,66,6,6,6,6]
print(statistics.mode(values))

### Arithmetic Median

**Median** is basically the mid value in the numerical data set. The **median** is calculated by ordering the numerical data set from lowest to highest and finding the number in the exact middle. If the count of total numbers in the group is an odd number, the **median** will be the number which is in the exact middle of the ordered list. If the count of total numbers is an even number, then the **median** will be the **mean** of the numbers that reside in the middle of the ordered list.

This can be simply calculated by the **statistics.median() **function.

import statistics
values = [21,1,2,3,4,5,6,7,8,24,29,50]
print("Arithmetic Median--> ", statistics.median(values))