Scripts

1. stats_calculations.py

• Purpose: Provides functions to perform statistical calculations.
• Key Functions:
  • calculate_mean(): Computes the average of a list of numbers.
  • calculate_median(): Determines the middle value in a sorted list.
  • calculate_mode(): Finds the most frequent value in a list.
  • calculate_variance(): Measures the dispersion of a set of numbers.
  • calculate_standard_deviation(): Calculates the amount of variation in a dataset.
  • calculate_quartiles(): Computes the quartiles of a dataset.
  • get_numbers_from_user(): Handles user input for numbers.

2. stats_user.py

• Purpose: Provides a command-line interface (CLI) for interacting with statistical functions.
• Features:
  • Interactive menu for selecting statistical operations.
  • Data visualization using histograms.
  • Allows for repeated calculations without restarting the program.

Key Concepts Covered

• Statistical Analysis: Understand and compute basic statistical measures.
• Python Functions: Modularize code using functions for different calculations.
• Error Handling: Manage user input and handle exceptions gracefully.
• It also includes a quick_select algorithm for efficient median calculation.