Dr. Telly Kamelia 
If you only need the buying answer
The current print listing at $83.34 is the strongest value in the sampled market. It comes in well below the sampled digital listing at $109.99 and well below broader second-edition hardcover pricing around $135.25. For a statistics methods book that students may want to revisit while doing projects, theses, or later data analysis, that makes print the better buy unless you specifically need temporary digital convenience over ownership.
Current price comparison
| Source | Format | Price (USD) |
|---|---|---|
| Merybook | $83.34 | |
| VitalSource | Digital | $109.99 |
| Broader market listing | Hardcover | $135.25 |
What the current price means
This is one of the cleaner print-win cases on the site. The current listing is not just a little lower than digital. It is materially lower than both the sampled digital route and the broader hardcover market. That matters because statistics books are often more useful when kept than when rented mentally for one semester. Once students move from lectures into independent analysis, they frequently need to flip back to assumptions, examples, model choices, and interpretation guidance.
Who should buy this book
Buy print if you expect to use the book beyond a single assignment cycle, especially for research methods work, capstone analysis, or any course that asks you to choose and interpret statistical procedures rather than just memorize formulas. Digital only makes more sense if your reading is very short-term and you strongly prefer searchable temporary access over a keepable reference.
What this book actually teaches
Applied Univariate, Bivariate, and Multivariate Statistics is a methods text built to help readers move from basic analysis to more complex model choice in an applied way. Its value is not just in listing tests. It helps students understand how to decide among statistical approaches, how to interpret output responsibly, and how to connect quantitative procedures to real research questions. That progression from simpler to more complex analysis is exactly why the book can remain useful after the first course that assigns it.
Books like this become long-tail references when students start doing independent work. They stop being only “the statistics textbook” and start becoming the book you reopen when you need to remember what kind of relationship a bivariate method captures, when a multivariate procedure is justified, or how interpretation changes once models get more complex. At the current price, print ownership is easy to defend.
