Book Review: Comparing Groups: Randomization and Bootstrap Methods
Authors: Andrew S. Zieffler, Jeffrey R. Harring and Jeffrey D. Long Publisher: Wiley – 298 pages Book Review by: Paiso Jamakar In many newspaper reports, television broadcasts, and even in U.S. Census Bureau data found on the Internet, we come to know of comparisons among groups of different people, differentiated by ethnic origin, education, income or other factors For example, we know generally that white households have higher incomes than African-American households, and have higher levels of education. But probably did not know that Asian Americans rank higher than whites in these two criteria of household income and educational attainment, as data compiled in the U.S. Census of 2000 shows. This book is about the different ways of comparing groups of people. It is meant primarily for researchers and statisticians, but there is no reason why you, likely not involved in statistics, research or any allied area, cannot get practical benefit from reading it. This book helps you understand how researchers gather data about different groups of people and how they derive conclusions about those groups from the data. George W. Cobb, who wrote the Foreword for this book, describes it as “a product of years of careful study and deep thought by its authors, who are practicing statisticians, education researchers and root-deep innovators.” Prior to reading this valuable book, I feel it is critical for you to know...
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