The discussion centers on finding a suitable statistics reference book that covers essential statistical tests and methods such as Chi-squared tests, Student's t-tests, Bonferroni corrections, Z-scores, and ANOVA. Participants express the need for a review book rather than a rigorous textbook, emphasizing the importance of clarity and accessibility in understanding these concepts for research purposes. Several recommendations are made, including Schaum's Guide to Statistics and various biostatistics texts, with a focus on their practical applications in research. There is also a mention of the challenges in finding a single comprehensive resource that encompasses all statistical tests and their definitions. Additionally, Excel is noted for its capabilities in performing basic statistical analyses, and suggestions for online resources like Mathworld are provided. Overall, the conversation highlights the difficulty of navigating statistical literature and the desire for user-friendly references in the field of research.