Statistical Methods for Research Workers

R.A. Fisher has had more influence on the development of statistical theory and practice than any other twentieth-century statistician. His writings (both in paper and book form) have proved to be as relevant to present-day statisticians as they were when first published. This book brings together as a single volume three of Fisher's most influential textbooks: Statistical Methods for Research Workers, The Design of Experiments , and Statistical Methods and Scientific Inference . In this new edition Frank Yates has provided a foreword which sheds fresh light on Fisher's thinking and on the writing and reception of each of the books. He discusses some of the key issues tackled in the three books and reflects on how the ideas expressed have come to permeate modern statistical practice.R.A. Fisher has had more influence on the development of statistical theory and practice than any other twentieth-century statistician. His writings (both in paper and book form) have proved to be as relevant to present-day statisticians as they were when first published. This book brings together as a single volume three of Fisher's most influential textbooks: Statistical Methods for Research Workers, The Design of Experiments , and Statistical Methods and Scientific Inference . In this new edition Frank Yates has provided a foreword which sheds fresh light on Fisher's thinking and on the writing and reception of each of the books. He discusses some of the key issues tackled in the three books and reflects on how the ideas expressed have come to permeate modern statistical practice.

Editorial/Letters

Statistical Methods for Research Workers

IN the review of Dr. R. A. Fisher's “Statistical Methods for Research Workers” in NATURE of June 8, the point is made that a careless reader may get the impression that the various methods outlined therein will give exact results when applied to the ordinary small “sample’, although we have, in general, no proof, or even expectation, that the sample is drawn from a ‘normal’ population, to which alone the tables can be exactly applied. That this is so is clear from the fact that an American writer has stated that the English school of statisticians claims to have produced tables which may be used for samples, however small, drawn from any conceivable population; but of course Dr. Fisher would be the first to cry out against the foolishness of making any such claim.

Statistical Methods for Research Workers.

Statistical Methods for Research Workers

Statistical Methods for Research Workers (Seventh Edition).

HereditasVolume 99, Issue 1 p. 151-152 Open Access Maternal effects on recombination in Drosophila melanogaster JACK VALENTIN, JACK VALENTIN Department of Genetics, University of Göteborg, Stigbergsliden 14, S-414 63 Göteborg, SwedenSearch for more papers by this author JACK VALENTIN, JACK VALENTIN Department of Genetics, University of Göteborg, Stigbergsliden 14, S-414 63 Göteborg, SwedenSearch for more papers by this author First published: September 1983 https://doi.org/10.1111/j.1601-5223.1983.tb00740.xAboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Literature cited Broadhead, R. S. and Kidwell, J. F. 1975. A note on the distribution of the recombination fraction in Drosophila melanogaster. – J. Hered. 66: 309– 310. Fisher, R. A. 1954. Statistical Methods for Research Workers (12 ed.). – Oliver & Boyd, Edinburgh . Lake, S. 1982. Recombination frequency in temperature shocked reciprocal hybrids of inbred lines of Drosophila melanogaster. – In Advances of Genetics, Development and Evolution of Drosophila ( S. Lakovaara), Plenum Publ. Corp., p. 55– 64. Landner, L. 1971. Genetic recombination in Neurospora crassa affected by changes in the supply of cellular energy. – Hereditas. 69: 315– 319. Luning, K. G. 1981. Genetics of inbred Drosophila melanogaster. I. Induction of marker genes and preliminary recombination tests. –Hereditas. 95: 181– 188. Luning, K. G. 1982. Genetics of inbred Drosophila melanogaster. VIII. The effects of inbreeding on recombination. – Hereditas. 96: 291– 294. Thoday, J. M. and Boam, T. B. 1956. A possible effect of the cytoplasm on recombination in Drosophila melanogaster. – J. Genet. 54: 456– 461. Volume99, Issue1September 1983Pages 151-152 ReferencesRelatedInformation

THE REGRESSION of a set of quantities with unequal frequencies on corresponding equally spaced values of the independent variable may be computed by the ingenious method given in R. A. Fisher's Statistical Methods for Research Workers, Ed. 7, pp. 168-176. This method, in it requires a number of successive additions, involves a great amount of writing. While it is true, as stated on page 170, that much labour is saved by choosing a 'working zero', it is of interest to eliminate all manual labor possible. Since a method making use of orthogonal polynomials is to be preferred to one requiring cumulative frequencies, it is assumed orthogonal polynomials are used in problems with equal frequencies. With unequal frequencies, short series with low degree regressions might possibly be written out without too much effort. With a large number of very long sets of observations, punch card equipment might be employed for obtaining the cumulative frequencies. However, without this equipment a calculating machine, especially one with multiplying keys, may be put to use most advantageously. The following table gives factors may be used with the values of the dependent variable and the frequencies to obtain successive cumulative sums without the intermediate recording is shown in Fisher's tables 30.3 and 30.4. The method of constructing the table is apparent from the numbers themselves. A formal illustration with a simplified case as, for example, with four quantities above the working zero and four below follows. By writing out the successive additions above and below the zero line, quantities are obtained which are seen to be sums of products of the original values and the factors shown in the table.

Significance of the topic is substantiated by the necessity to find resources for the development of modern health organizations and medical science based on concentrating scientific, creative and project groups around proactive leaders able to unite stakeholders to achieve strategic goals and improve performance of the organization. In this respect availability of effective tools for assessing employee leadership qualities steps into the spotlight. The purpose of the study is to assess leadership qualities of employees of scientific and medical organizations on the basis of standard questionnaires on leadership qualities. Research Institute for Complex Issues of Cardiovascular Diseases was the research base, research object– personnel, research subject– leadership qualities of employees. Material and methods. Theoretical analysis and sociological survey, based on the standard questionnaires by D. Welch, E. Zharikov and E. Krushelnikov. During data analysis standard methods of descriptive statistics were used with quantitative data representation as median (Me), 25 and 75 quartiles of values ([Q1-Q3]), and frequency of sign occurrence in % and absolute values (n) for qualitative variable expression. The distribution of quantitative data was analyzed using the Kholmogorov-Smirnov criterion. Quantitative variables in the two groups were compared using the Kruskal-Wallis criterion. Pearson's chi-square was used to compare qualitative variables. Results. The study showed that 57.5% of the total number of the respondents had leadership potential and / or distinctive leadership qualities, including: research workers – 21.0%, administrative and managerial staff – 18.4%, nursing staff – 28.9%, doctors – 28.9%, other staff – 2.8%. 67.4% out of the total number of the respondents expressed willingness to take part in activities on improving performance of the organization, in particular: research process (25.0%), personnel policy, including education (20.8%), performance of their division (18.7%), treatment and diagnostic process (16.6%), quality management system (10.4%) and financial and economic activity (8.5%). Conclusion. More than 50.0% of the employees have a leadership potential. Willingness to actively participate in activities aimed at the institution development was equality expressed by both scientific staff and medical personnel, which is especially valuable for the organization that specializes in both scientific research and high-tech care delivery.

Statistical Methods in Food Research

OBSERVATIONS ON GRADUATE PROGRAMS IN STATISTICS AND RELATED ISSUES

Some Thoughts About Data Type, Distribution, and Statistical Significance

This book describes the theory and practice of methods for quantitative trait loci (QTL) detection and analysis, as well as marker assisted selection, in animal genetics and breeding. It is divided into 16 chapters: historical overview; principles of parameter estimation; random and fixed effects (the mixed model); experimental designs to detect QTL (generation of linkage disequilibrium); QTL parameter estimation for crosses between inbred lines; advanced statistical methods for QTL detection and parameter estimation; analysis of QTL as random effects; statistical power to detect QTL and parameter confidence interval; optimization of experimental designs; fine mapping of QTL; complete genome QTL scans (the problem of multiple comparisons); multiple trait QTL analysis; principles of selection index and traditional breeding programmes; marker-assisted selection (theory); marker-assisted selection (results of simulation studies); and marker-assisted introgression. The book is aimed at graduate students and research workers in quantitative genetics and animal breeding. There is an author index and a detailed subject index.

Introduction The last decade or so has seen an immense growth in the amount of research carried out in a wide range of management aspects. Currently, the position is one of continuing growth, as a review of the many journals of management, organisation and allied subjects will testify. Not only has research become more widespread, it has also become much more sophisticated. A look at those same journals in the early 1960s will reveal methods of reporting very different from those of today. Now the use of statistical methods for data testing—especially multi‐variate techniques—is commonplace, if not always intelligible to the layman or even fellow academics and research workers. Research designs have become more elaborate, and the topics of research often elevated to such a level of academic sophistication as to seem irrelevant to the manager. While it would be unfair to suggest that all research in management takes this form, there is sufficient to make the manager ask what it all has to do with him, as Bennett et al and Gee make clear.