# Statistics

## What is a Bias?

Unveiling Bias: Exploring its Impact and Mitigating Measures. Understand, recognize, and address bias in this insightful guide.

## What is the Variance?

Explore variance’s role in statistics and data analysis. Understand how it measures data dispersion.

## What is the Kullback-Leibler Divergence?

Explore Kullback-Leibler Divergence, a vital metric in information theory and machine learning, and its applications.

## What is the Maximum Likelihood Estimation?

Unlocking insights: Understand Maximum Likelihood Estimation (MLE), a potent statistical tool for parameter estimation and data modeling.

## What is the Variance Inflation Factor (VIF)?

Learn how Variance Inflation Factor (VIF) detects multicollinearity in regression models for better data analysis.

## What is the Dummy Variable Trap?

Escape the Dummy Variable Trap: Learn About Dummy Variables, Their Purpose, the Trap’s Consequences, and how to detect it.

## What is the R-squared?

Introduction to R-Squared: Learn its Significance, Calculation, Limitations, and Practical Use in Regression Analysis.

## What is the Median?

Learn about the median and its significance in data analysis. Explore its computation, applications, and limitations.

## What is the ARIMA Model?

Master time series forecasting with ARIMA models: Learn to analyze and predict trends in data. Step-by-step guide with Python examples.