The Weighted Variance Calculator is an interactive and data-driven tool designed to help analysts, researchers, and decision-makers compute the weighted variance of a dataset. Weighted variance accounts for the relative importance (or weight) of each data point, making it particularly useful when some observations are more significant than others. This tool allows users to input numerical data along with their corresponding weights and calculates the weighted mean, weighted variance, and weighted standard deviation.

Key Features:

1. Dynamic Input Fields: Users can input datasets with up to five variables or upload a CSV file containing their data and weights.
2. Weighted Variance Calculation: Automatically compute the weighted mean, weighted variance, and weighted standard deviation.
3. Interactive Charts: Visualize the weighted distribution using bar charts or scatter plots to better understand the impact of weights on variability.
4. Scenario Testing: Allow users to adjust inputs dynamically to explore how changes in weights affect the weighted variance.
5. PDF Export Functionality: Generate downloadable reports summarizing weighted variance results for presentations or sharing with stakeholders.
6. Modern and Stylish Design: A sleek interface with vibrant colors, animations, and clear typography to enhance user engagement.
7. Fully Responsive: Optimized for all devices, ensuring seamless functionality on desktops, tablets, and mobiles.
8. Self-Contained Container: The tool operates within its own container, ensuring no interference with the page header or footer.

Use Cases:

• Researchers analyzing survey data where responses have different weights based on demographics.
• Financial analysts calculating portfolio variance with asset weights.
• Educators teaching weighted statistical measures and their applications.

How It Works:
Users input numerical data and their corresponding weights for up to five variables or upload a CSV file containing their data. The tool computes the weighted mean, weighted variance, and weighted standard deviation and displays the results in a table. Outcomes are visualized using interactive charts, allowing users to interpret the impact of weights on variability. Users can customize inputs dynamically, analyze scenarios, and download detailed reports in PDF format for further analysis or sharing with stakeholders.