One of the real strengths of the book is the many examples and datasets that it includes. The order of introducing independence and conditional probability should be switched. The writing could be slightly more inviting, and concept could be more readily introduced via accessible examples more often. I did not find any grammatical errors. Chapter 7 and 8 cover the linear, multiple and logistic regression. In my opinion, the text is like jade, and can be used as a standalone text with abundant supplements on its website ().
Overall, this is a well written book for introductory level statistics. All of the notation and terms are standard for statistics and consistent throughout the book. The text is mostly accurate, especially the sections on probability and statistical distributions, but there are some puzzling gaffes. A very extensive website, which is closely keyed in to the text, provides additional resources including copious examples of research and further discussion of research issues, links to other useful resources and selected journal articles, annotated lists of further reading and an extensive set of PowerPoint slides. Each chapter consists of 5-10 sections. I also appreciated that the authors use examples from the hard sciences, life sciences, and social sciences.
For example, income variations in two cities, ethnic distribution across the country, or synthesis of data from Africa. General features of flexible designs 146. No results were found. Each chapter starts with a very interesting paragraph or introduction that explains the idea of the chapter and what will be covered and why. The text is up to date and the content / data used is able to be modified or updated over time to help with the longevity of the text. PART III TACTICS: THE METHODS OF DATA COLLECTION 241. The examples are up-to-date.
Introduction to a range of more specialist techniques 361. • Data are messy, and statistical tools are imperfect. They have done an excellent job choosing ones that are likely to be of interest to and understandable by students with diverse backgrounds. Phone:||860-486-0654|. Real World Research, 4th Edition. Chapter 18 The analysis and interpretation of qualitative data 459. The learner can't capture what is logistic regression without a clear definition and explanation. One topic I was surprised to see trimmed and placed online as extra content were the calculations for variance estimates in ANOVA, but these are of course available as supplements for the book. Thoroughly updated and revised, with a focus on the qualitative and quantitative data analysis chapters. Continue to learn more about the time period covered in World History with the historical novels Ellanor's Exchange, Gunner's Run, Silent Road to Rescue and The Hawk That Dare Not Hunt by Day. Skills in interviewing 306. The regression treatment of categorical predictors is limited to dummy coding (though not identified as such) with two levels in keeping with the introductory nature of the text.
Designing and carrying out multi]strategy research 180. The graphs and tables in the text are well designed and accurate. This keeps all inference for proportions close and concise helping the reader stay uninterrupted in the topic. The drawbacks of the textbook are: 1) it doesn't offer how to use of any computer software or graphing calculator to perform the calculations and analyses; 2) it didn't offer any real world data analysis examples. Although there are some materials on experimental and observational data, this is, first and foremost, a book on mathematical and applied statistics. "Data" is sometimes singular, sometimes plural in the authors' prose. There are exercises at the end of each chapter (and exercise solutions at the end of the text).
The scientific journal format 492. The authors make effective use of graphs both to illustrate the... read more. Typos that are identified and reported appear to be fixed within a few days which is great. Another welcome topic that is not typical of introductory texts is logistic regression, which I have seen many references to in the currently hot topic of Data Science. While the examples did connect with the diversity within our country or i. e. the U. K., they may not be the best examples that could be used to connect with those from non-western countries. The drawback of this book is that it does not cover how to use any computer software or even a graphing calculator to perform the calculations for inferences. General ethical responsibilities 229. World History, 4th edition, recounts the story of mankind from creation to the present. Some of these will continue to be useful over time, but others may be may have a shorter shelf life. This will increase the appeal of the text. This book is easy to follow and the roadmap at the front for the instructor adds additional ease. This could be either a positive or a negative to individual instructors. I would consider this "omission" as almost inaccurate.
This text will be useful as a supplement in the graduate course in applied statistics for public service. While the text could be used in both undergraduate and graduate courses, it is best suited for the social sciences. The later chapters (chapter 4-8) are self-contained and can be re-ordered. Chapter 13 Tests and scales 307. Quantitative and qualitative data – and their integration in multi]strategy designs 408. This is a statistics text, and much of the content would be kept in this order.
However, it would not suffice for our two-quarter statistics sequence that includes nonparametrics.
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