Beauty or Statistics

Beauty or Statistics PDF

Author: Bert Theunissen

Publisher: University of Toronto Press

Published: 2020

Total Pages: 285

ISBN-13: 1487507003

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The long tradition of livestock breeding in the Netherlands serves as a valuable example of the delicate balance between art and science, beauty and statistics in the modernizing field of agriculture.

Beauty or Statistics

Beauty or Statistics PDF

Author: Bert Theunissen

Publisher: University of Toronto Press

Published: 2020-02-24

Total Pages: 285

ISBN-13: 1487535392

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In the 1970s, scientists claimed that farm animal breeding was finally evolving from an art into a science. In their view, the switch to scientific breeding was as inevitable as the ongoing process of agricultural modernization. However, the art-to-science scenario is too simplistic to do justice to the complex dynamic that characterized the transformation of the field. The livestock breeds that take centre stage in this book – dairy cattle, chickens, pigs, sheep, and horses – were products of the twentieth century. The methods used by breeders to improve their animals, however, were much older. Tracing the history of practical stockbreeding, the role of Mendelism in scientific breeding, and the emergence of quantitative genetics, Beauty or Statistics shows that the story of the scientific modernization of livestock breeding can be more fruitfully analysed from the perspective of changing cultures of breeding, taking practical, commercial, normative, and aesthetic considerations into account.

Beautiful Data

Beautiful Data PDF

Author: Toby Segaran

Publisher: "O'Reilly Media, Inc."

Published: 2009-07-14

Total Pages: 386

ISBN-13: 144937929X

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In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

Beauty and Business

Beauty and Business PDF

Author: Philip Scranton

Publisher: Routledge

Published: 2014-03-05

Total Pages: 345

ISBN-13: 1136692576

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Beauty seems simple; we know it when we see it. But of course our ideas about what is attractive are influenced by a broad range of social and economic factors, and in Beauty and Business leading historians set out to provide this important cultural context. How have retailers shaped popular consciousness about beauty? And how, in turn, have cultural assumptions influenced the commodification of beauty? The contributors here look to particular examples in order to address these questions, turning their attention to topics ranging from the social role of the African American hair salon, and the sexual dynamics of bathing suits and shirtcollars, to the deeper meanings of corsets and what the Avon lady tells us about changing American values. As a whole, these essays force us to reckon with the ways that beauty has been made, bought, and sold in modern America.

The Beauty Myth

The Beauty Myth PDF

Author: Naomi Wolf

Publisher: Harper Collins

Published: 2009-03-17

Total Pages: 372

ISBN-13: 006196994X

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The bestselling classic that redefined our view of the relationship between beauty and female identity. In today's world, women have more power, legal recognition, and professional success than ever before. Alongside the evident progress of the women's movement, however, writer and journalist Naomi Wolf is troubled by a different kind of social control, which, she argues, may prove just as restrictive as the traditional image of homemaker and wife. It's the beauty myth, an obsession with physical perfection that traps the modern woman in an endless spiral of hope, self-consciousness, and self-hatred as she tries to fulfill society's impossible definition of "the flawless beauty."

Business Statistics by Dr. V. C. Sinha, Dr. Alok Gupta, Dr. Jitendra Kumar Saxena (SBPD Publications)

Business Statistics by Dr. V. C. Sinha, Dr. Alok Gupta, Dr. Jitendra Kumar Saxena (SBPD Publications) PDF

Author: Dr. V. C. Sinha

Publisher: SBPD Publications

Published: 2021-07-03

Total Pages: 466

ISBN-13:

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An excellent book for commerce students appearing in competitive, professional and other examinations. Business Statistics 1.Statistics : Concept, Nature and Limitations, 2.Statistics : Scope and Significance, 3.Types and Collection of Data, 4. Classification and Tabulation of Data, 5. Frequency Distribution, 6. Graphic Presentation of Data, 7. Measures of Central Tendency (Mean, Median, Mode), 8. Measures of Variation or Dispersion (Rang, Q. D., M. D. & S. D.), 9. Measures of Skewness, 10. Measures of Kurtosis, 11. Correlation, 12. Regression Analysis, 13. Probability Theory, 14. Probability Distributions (Binomial, Poisson and Normal), 15. Sampling Theory and Tests of Significance. 16. Appendix. SYLLABUS Unit I : Statistics : Concept, Significance & Limitation, Type of Data, Classification & Tabulation, Frequency Distribution & Graphical Representation. Unit II : Measures of Central Tendency (Mean, Median, Mode), Measures of Variation : Significance & Properties of a Good Measure of Variation : Range, Quartile Deviation, Mean Deviation and Standard Deviation, Measures of Skewness & Kurtosis. Unit III :Correlation : Significance of Correlation, Types of correlation, Simple Correlation, Scatter Diagram Method, Karl Pearson Coefficient of Correlation. Regression : Introduction, Regression Lines, Regression Equation & Regression Coefficient. Unit IV :Probability : Concept, Events, Addition Law, Conditional Probability, Multiplication Law & Baye’s Theorem [Simple Numerical], Probability Distribution : Binomial, Poisson and Normal. Unit V : Sampling Method of Sampling, Sampling and Non-Sampling Errors. Test of Hypothesis, Type-I and Type-II Errors, Large Sample Tests.