Business Statistics

Overview

Placeholder module page. Back to Business Administration.

Key Concepts

• Descriptive statistics (central tendency, dispersion)
• Probability foundations and distributions
• Sampling, estimation, and confidence intervals
• Hypothesis testing and p-values
• Regression basics and interpretation

Frameworks & Tools

• EDA checklist (clean → explore → visualize)
• A/B test structure (control, treatment, metrics)
• Common pitfalls (selection bias, confounding)

Examples / Exercises

Placeholder: worked examples, datasets, and practice problems.

Checklists

• Define the decision, metric, and acceptable error
• Validate data quality and assumptions
• Communicate results with uncertainty

Resources

Placeholder: books, papers, and references.