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 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 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))
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))