|Statement||Michael H. Brackett.|
|LC Classifications||QA76.9.D26 B73 1990|
|The Physical Object|
|Pagination||xxiii, 440 p. :|
|Number of Pages||440|
|LC Control Number||89015938|
This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design/5(17). Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the by: Power outages, space constraints, need for deployment without disruption, and budget, drove Moreno Valley Unified School District to come up with an alternative to building a traditional data . Tony Kenyon provides the tools to solve medium- to large-scale data network design problems from the ground up. He lays out a practical and systematic approach that integrates network planning, research, design, and deployment, using state-of-the-art techniques in performance analysis, cost analysis, simulation, and topology s: 3.
This is a very practical book, which teaches you how to "make data talk to you," that is, how to extract information, quantitative and qualitative, out of your data, and make it useful beyond just s: 7. The book covers all necessary areas and topics, but I did not see an overall index. I like the idea of having key terms at the end of each section. It was a great book for database design and as an extra bonus, SQL was covered in greater detail than most texts on the subject. It is complete with section review, exercises, and solutions. Practical Research: Planning and Designis a broad-spectrum, cross-disciplinary book suitable for a wide variety of courses in research methodology. Many basic concepts and strategies in research transcend the boundaries of specific academic areas, and such concepts and strate- gies are at the heart of this book. the data in this book of considerable assistance, and the professional design engineer will also ﬁnd that the items brought together here include many that will be frequently useful and which would normally be available in collected form in much larger volumes. The book has been designed to include within a reasonable space most.
This book is a worthwhile read not only for designers, but for marketers as well. Another one of the works on LinkedIn ’s list of the 10 Graphic Design Books Every Designer Should Read, this guide gives the entire branding team a toolkit for their identity. With tips and tools to create, build, and sell a brand, this book ensures the brand is on point throughout the entire process. A. Placing Data in Context; Practical Data Analysis; Collaboration in Science; Experimental Design B. Working with Groups of Data; Comparison of Groups; Comparing Several Means; Multiple Comparisons of Means C. Sorting out Effects with Data; Factorial Designs; Balanced Experiments; Model Selection D. Dealing with Imbalance; Unbalanced. Practical Data improves Yahoo! Stores with Rewards Programs, Mobile Commerce Sites, Customer Login and additional RTML enhancements. Data Mining - Practical Machine Learning Tools and Techniques The Data Science Book ; The Elements of Statistical Learning - Data Mining, Inference, Applied Design Patterns, Practical Use Cases with the Leading NoSQL Database ; MongoDB - The Definitive Guide.