Statistics Module in Python

Statistics Module in Python

Introduction: 

The statistics module in Python provides various functions for mathematical statistics and data analysis. It offers a convenient way to perform statistical calculations on numerical data. Below are some of the important functions available in the statistics module:

1. Mean Calculation:
   The mean() function calculates the arithmetic mean of a list of numbers.

   python
   import statistics
   
   data = [2, 4, 6, 8, 10]
   mean_value = statistics.mean(data)
   print("Mean:", mean_value)
   

2. Median Calculation:
   The median() function calculates the median of a list of numbers.

   python
   import statistics
   
   data = [2, 4, 6, 8, 10]
   median_value = statistics.median(data)
   print("Median:", median_value)
   

3. Mode Calculation:
   The mode() function calculates the mode(s) of a list of numbers.

   python
   import statistics
   
   data = [2, 4, 6, 4, 8, 10, 4]
   mode_values = statistics.mode(data)
   print("Mode:", mode_values)
   

4. Standard Deviation:
   The stdev() function calculates the standard deviation of a list of numbers.

   python
   import statistics
   
   data = [2, 4, 6, 8, 10]
   stdev_value = statistics.stdev(data)
   print("Standard Deviation:", stdev_value)
   

5. Variance:
   The variance() function calculates the variance of a list of numbers.

   python
   import statistics
   
   data = [2, 4, 6, 8, 10]
   variance_value = statistics.variance(data)
   print("Variance:", variance_value)
   

6. Harmonic Mean:
   The harmonic_mean() function calculates the harmonic mean of a list of numbers.

   python
   import statistics
   
   data = [2, 4, 6, 8, 10]
   harmonic_mean_value = statistics.harmonic_mean(data)
   print("Harmonic Mean:", harmonic_mean_value)
   

7. Quantiles:
   The quantiles() function calculates the specified quantiles of a list of numbers.

   python
   import statistics
   
   data = [2, 4, 6, 8, 10]
   quantiles_values = statistics.quantiles(data, n=4)
   print("Quantiles:", quantiles_values)
   

These functions enable Python programmers to perform a wide range of statistical computations efficiently and accurately on datasets.