Beauty or Statistics


Book Description

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.




The Beauty Myth


Book Description

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."




The Data Detective


Book Description

From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.




Beauty Sick


Book Description

“[Beauty Sick] will blow the top off the body image movement…provocative and necessary.” — Rebellious Magazine An award-winning psychology professor reveals how the cultural obsession with women's appearance is an epidemic that harms women's ability to get ahead and to live happy, meaningful lives, in this powerful, eye-opening work in the vein of Peggy Orenstein and Sheryl Sandberg. Today’s young women face a bewildering set of contradictions when it comes to beauty. They don’t want to be Barbie dolls but, like generations of women before them, are told they must look like them. They’re angry about the media’s treatment of women but hungrily consume the outlets that belittle them. They mock modern culture’s absurd beauty ideal and make videos exposing Photoshopping tricks, but feel pressured to emulate the same images they criticize by posing with a "skinny arm." They understand that what they see isn’t real but still download apps to airbrush their selfies. Yet these same young women are fierce fighters for the issues they care about. They are ready to fight back against their beauty-sick culture and create a different world for themselves, but they need a way forward. In Beauty Sick, Dr. Renee Engeln, whose TEDx talk on beauty sickness has received more than 250,000 views, reveals the shocking consequences of our obsession with girls’ appearance on their emotional and physical health and their wallets and ambitions, including depression, eating disorders, disruptions in cognitive processing, and lost money and time. Combining scientific studies with the voices of real women of all ages, she makes clear that to truly fulfill their potential, we must break free from cultural forces that feed destructive desires, attitudes, and words—from fat-shaming to denigrating commentary about other women. She provides inspiration and workable solutions to help girls and women overcome negative attitudes and embrace their whole selves, to transform their lives, claim the futures they deserve, and, ultimately, change their world.




Information is Beautiful


Book Description

Miscellaneous facts and ideas are interconnected and represented in a visual format, a "visual miscellaneum," which represents "a series of experiments in making information approachable and beautiful" -- from p.007




Income in the United States


Book Description







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


Book Description

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.