Basic Statistical Analysis using Python This project is a simple Python script that demonstrates how to calculate basic statistical measures using the statistics module. The script computes the mean, variance, standard deviation, and median for a predefined dataset.

Features: Mean Calculation: Computes the average value of the dataset. Variance Calculation: Computes the variance, which measures the spread of the data points. Standard Deviation Calculation: Computes the standard deviation, which indicates the amount of variation or dispersion of the data points. Median Calculation: Computes the median, which is the middle value in the sorted dataset. How It Works: Data Input: A predefined list of numerical data is provided in the script. Statistical Computation: Mean: Calculated using st.mean(data). Variance: Calculated using st.variance(data). Standard Deviation: Calculated using st.stdev(data). Median: Calculated using st.median(data). Output: The computed statistical values are printed to the console. Requirements: Python 3.x How to Run: Clone the repository. Run the Python script. bash Copy code python basic_statistics.py The script will print the mean, variance, standard deviation, and median of the dataset. Future Enhancements: Extend the script to accept user input for the dataset. Implement additional statistical measures like mode, range, and quartiles. Create a graphical representation of the data using libraries like Matplotlib or Seaborn.