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Excerpt from Probability, the Foundation of Eugenics He ends with 'this is the truth, and let it be your balm.' The poem is a noble conception, founded on the crude cosmogony Of the ancient Greeks. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.
Few scientists have made lasting contributions to as many fields as Francis Galton. He was an important African explorer, travel writer, and geographer. He was the meteorologist who discovered the anticyclone, a pioneer in using fingerprints to identify individuals, the inventor of regression and correlation analysis in statistics, and the founder of the eugenics movement. Now, Nicholas Gillham paints an engaging portrait of this Victorian polymath. The book traces Galton's ancestry (he was the grandson of Erasmus Darwin and the cousin of Charles Darwin), upbringing, training as a medical apprentice, and experience as a Cambridge undergraduate. It recounts in colorful detail Galton's adventures as leader of his own expedition in Namibia. Darwin was always a strong influence on his cousin and a turning point in Galton's life was the publication of the Origin of Species. Thereafter, Galton devoted most of his life to human heredity, using then novel methods such as pedigree analysis and twin studies to argue that talent and character were inherited and that humans could be selectively bred to enhance these qualities. To this end, he founded the eugenics movement which rapidly gained momentum early in the last century. After Galton's death, however, eugenics took a more sinister path, as in the United States, where by 1913 sixteen states had involuntary sterilization laws, and in Germany, where the goal of racial purity was pushed to its horrific limit in the "final solution." Galton himself, Gillham writes, would have been appalled by the extremes to which eugenics was carried. Here then is a vibrant biography of a remarkable scientist as well as a superb portrait of science in the Victorian era.
The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.
