| Author | : Olive Jean Dunn |
| File Size | : 44,8 Mb |
| Publisher | : Unknown |
| Language | : English |
| Release Date | : 26 April 1964 |
| ISBN | : UOM:39015007414686 |
| Pages | : 210 pages |
Download or read online Basic Statistics written by Olive Jean Dunn, published by Unknown which was released on 1964. Get Basic Statistics Books now! Available in PDF, ePub and Kindle.
Get BookAn introduction to the use of statistics in biomedical research-now fully updated for the information age Since the second edition of Basic Statistics was published more than two decades ago, there have been significant changes in the way statistics is applied in the biomedical fields. To provide relevant, up-to-date coverage
Get BookRegression Analysis by Example Samprit Chatterjee and Bertram Price Bridges the gap between theory and practice of regression analysis, providing a balance between theoretical results and the analyst’s subjective judgment. Describes methods by using realistic examples that emphasize the analysis of data and that contain irregularities similar to those
Get BookThe Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate
Get BookFor the new edition of Biostatistics and Epidemiology, Dr. Wassertheil-Smoller has included several new chapters (genetic statistics, molecular epidemiology, scientific integrity and research ethics) and a new appendix on the basic concepts of genetics and a glossary of genetic terminology. She has also expanded the coverage of multi-center trials (an
Get BookFirst multi-year cumulation covers six years: 1965-70.
Get BookElementary rules of probability; Populations, samples, and the distribution of the sample mean; Analysis of matched pairs using sample means; Analysis of the two-sample location problem using sample means; Surveys and experiments in medical research; Statistical inference for dichotomous variables; Comparing two success probabilities; Chi-squared tests; Analysis of k-sample problems;
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Introduction to Statistics for the Life and Biomedical Sciences has been written to be used in conjunction with a set of self-paced learning labs. These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language.The text discusses the
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