Role Of Statistics

The role of statistics in data science is to help data scientists understand and summarize data, uncover patterns, validate models, handle uncertainty (like missing or noisy data), and make evidence-based decisions.

For example:

• Mean and median summarize central tendencies.
• Standard deviation and variance measure variability.
• Hypothesis testing validates assumptions.
• Regression analysis predicts relationships between variables.
• Bayesian inference updates beliefs as new data comes in.

Use case: A marketing team runs an A/B test to compare two email campaigns. Statistical methods help determine whether the difference in click-through rates is real or just a coincidence.