Recommended Reading

• Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd.
  A foundational text that introduced the principles of randomization and experimental control, forming the basis of modern statistical design.

• Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). John wiley & sons.
  A comprehensive and accessible modern treatment of experimental design, emphasizing applications and interpretation.

• Freedman, D., Pisani, R., & Purves, R. (2007). Statistics (4th ed.). W. W. Norton & Company. This book emphasizes clear reasoning, real examples, and conceptual insight rather than formula memorization.

• Ross, S. M. (2020). A First Course in Probability. Pearson. A widely used undergraduate text that builds a solid foundation through clear explanations and a broad range of exercises.

• Blitzstein, J. K. & Hwang, J. (2019). Introduction to Probability. Chapman and Hall/CRC. An engaging, example-driven introduction that emphasizes problem-solving and intuition.

• Feller, W. (1971). An Introduction to Probability Theory and Its Applications, Volume 1. Wiley. A rigorous classic that provides a deeper and more formal treatment of the subject.