Python statistics Module

Question

Learn how to use the powerful Python statistics module for analyzing data with ease. This module provides a range of statistical functions to calculate measures like mean, median, mode, variance, standard deviation, and more. Improve your data analysis skills and gain insights into your data with Python statistics module. Explore tutorials, examples, and best practices on using statistics module in Python for data science, machine learning, and more. Start analyzing data like a pro today!

Answer 1

Python statistics Module

The Python statistics module provides functions for performing mathematical statistics on numerical data. Here are the functions in the module.

• statistics.stdev() - Calculates the sample standard deviation of a data set.
• statistics.pstdev() - Calculates the population standard deviation of a data set.
• statistics.variance() - Calculates the sample variance of a data set.
• statistics.pvariance() - Calculates the population variance of a data set.
• statistics.mean() - Calculates the arithmetic mean (average) of a data set.
• statistics.median() - Calculates the median of a data set.
• statistics.median_low() - Calculates the low median of a data set.
• statistics.median_high() - Calculates the high median of a data set.
• statistics.mode() - Calculates the mode of a data set.
• statistics.harmonic_mean() - Calculates the harmonic mean of a data set.
• statistics.geometric_mean() - Calculates the geometric mean of a data set.