Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive.
Author: Stephen M. Stigler
Publisher: Harvard University Press
Category: Social Science
What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician.
153 I've used the following example talking to our producers: It's a newsroom-
centric riffon an old parable passed down from John Venn in Stephen Stigler's The Seven Pillars of Statistical Wisdom as he shares a story of a sea captain who
Author: Anthony Salvanto
Publisher: Simon & Schuster
Category: Social Science
CBS News’ Elections and Surveys Director Anthony Salvanto takes you behind the scenes of polling to show you how to think about who we are and where we’re headed as a nation. As Elections and Surveys Director for CBS News, it’s Anthony Salvanto’s job to understand you—what you think and how you vote. He’s the person behind so many of the poll numbers you see today, making the winner calls on election nights and surveying thousands of Americans. In Where Did You Get This Number? A Pollster’s Guide to Making Sense of the World, Salvanto takes readers on a fast-paced, eye-opening tour through the world of polling and elections and what they really show about America today, beyond the who's-up-who’s-down headlines and horse races. Salvanto is just the person to bring much-needed clarity in a time when divisions seem to run so deep. The language of polling may be numbers, but the stories it tells are about people. In this engaging insider’s account, Salvanto demystifies jargon with plain language and answers readers’ biggest questions about polling and pollsters. How can they talk to 1,000 people and know the country? How do they know the winner so fast? How do they decide what questions to ask? Why didn't they call you? Salvanto offers data-driven perspective on how Americans see the biggest issues of our time, from the surprising 2016 election, to the shocks of the financial crisis, the response to terrorism and the backlash against big money. He doesn’t shy away from pointing out what’s worked and what hasn’t. Salvanto takes readers inside the CBS newsroom on Election Night 2016 and makes readers rethink conventional wisdom and punditry just in time for the 2018 midterms. He shows who really decides elections and why you should think about a poll differently from the forecasts popularized by Nate Silver and others. Where Did You Get This Number? is an essential resource for anyone interested in politics—and how to better measure and understand patterns of human behavior. For any American who wants to get a better read on what America is thinking, this book shows you how to make sense of it all.
Sci. 1980, 39: 147–158). His most recent book on the history of statistics is The Seven Pillars of Statistical Wisdom (2016). Rupa Patel is a physician scientist
and is the Founder and Director of the Washington University in St Louis
Author: Liberty Vittert
Publisher: 30 Second
30-Second Data Science is the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives. Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics. But there's more to it than the vast quantities of information gathered by our computers, smartphones, and credit cards. Carefully compiled by experts in the field, 30-Second Data Science covers the basic statistical principles that drive the algorithms, how data affects us in every way--science, society, business, pleasure--along with the ethical quandaries and its future promise of a better world. Each 30-Second entry details a different facet of data science in just 300 words and one picture, showing how the concept of bringing together different types of data, and using powerful computer programs to find patterns no human eye could spot, is already transforming our world. Exploring key ideas and featuring biographies of the people behind them, 30-Second Data Science explains clearly and concisely all you need to know about data science, from basics to ethics.
The seven pillars of statistical wisdom. Cambridge, MA: Harvard University Press.
Stolley, P. (1991). When genius errs: R. A. Fisher and the lung cancer
controversy. American Journal of Epidemiology, 133(5), 416–425. Strauss, V. (
Author: Paul A. Wagner
Publisher: Rowman & Littlefield Publishers
If our goal is Education for Knowing, as the title says, then we need to be guided by a conception of what knowing is. For example, we can all agree that there are “math facts” that students need to learn, and we can agree that there are general concepts and laws that students should be acquainted with. But is there more involved, perhaps something like nurturing in students a desire to probe deeper into the workings of thing? Or developing a capacity to explain why things work the way they do? Our conceptions of what genuine knowing is serve as guides to what we think the goal of education is, and they tell us how to “build a student.” However, as it turns out, there are multiple conceptions of what knowing truly involves, and these conceptions tend to be different for different sets of education stakeholders such as parents and their children, school administrators, and educational researchers. Understanding this diversity of conceptions of knowing will make it easier for representatives of the different stakeholder groups to work together to accomplish the goal of building knowing students.
Stigler, S. M. (2016). The Seven Pillars of Statistical Wisdom. Cambridge, MA:
Harvard University Press. Swarztrauber, K., Koudelka, C., and Brodsky, M. A. (
2006). Initial pharmacotherapy in a population of veterans with Parkinson
Author: Erwin B. Montgomery
Publisher: Oxford University Press, USA
Modern medicine is one of humankind's greatest achievements.Yet today, frequent medical errors and irreproducibility in biomedical research suggest that tremendous challenges beset it. Understanding these challenges and trying to remedy them have driven considerable and thoughtful critical analyses, but the apparent intransigence of these problems suggests a different perspective is needed. Now more than ever, when we see options and opportunities for healthcare expanding while resources are diminishing, it is extremely important that healthcare professionals practice medicine wisely. In Medical Reasoning, neurologist Erwin B. Montgomery, Jr. offers a new and vital perspective. He begins with the idea that the need for certainty in medical decision-making has been the primary driving force in medical reasoning. Doctors must routinely confront countless manifestations of symptoms, diseases, or behaviors in their patients. Therefore, either there are as many different "diseases" as there are patients or some economical set of principles and facts can be combined to explain each patient's disease. The response to this epistemic conundrum has driven medicine throughout history: the challenge is to discover principles and facts and then to develop means to apply them to each unique patient in a manner that provides certainty. This book studies the nature of medical decision making systematically and rigorously in both an analytic and historical context, addressing medicine's unique need for certainty in the face of the enormous variety of diseases and in the manifestations of the same disease in different patients. The book also examines how the social, legal, and economic circumstances in which medical decision-making occurs greatly influence the nature of medical reasoning. Medical Reasoning is essential for those at the intersection of healthcare and philosophy.
What are the effects caused by consuming alcohol or by receiving hormone replacement therapy? These are causal questions, questions about the effects caused by treatments, policies or preventable exposures.
Author: Paul Rosenbaum
We hear that a glass of red wine prolongs life, that alcohol is a carcinogen, that pregnant women should drink not a drop of alcohol. Major medical journals first claimed that hormone replacement therapy reduces the risk of heart disease, then reversed themselves and said it increases the risk of heart disease. What are the effects caused by consuming alcohol or by receiving hormone replacement therapy? These are causal questions, questions about the effects caused by treatments, policies or preventable exposures. Some causal questions can be studied in randomized trials, in which a coin is flipped to decide the treatment for the next experimental subject. Because randomized trials are not always practical, nor always ethical, many causal questions are investigated in non-randomized observational studies. The reversal of opinion about hormone replacement therapy occurred when a randomized clinical trial contradicted a series of earlier observational studies. Using minimal mathematics--high school algebra and coin flips--and numerous examples, Observation and Experiment explains the key concepts and methods of causal inference. Examples of randomized experiments and observational studies are drawn from clinical medicine, economics, public health and epidemiology, clinical psychology and psychiatry.--
In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data.
Author: David Spiegelhalter
Publisher: Penguin UK
'This marvellous book will transform your relationship with the numbers that swirl all around us' TIM HARFORD, author of The Undercover Economist Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. How many trees are there on the planet? Do busier hospitals have higher survival rates? Why do old men have big ears? Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science. 'Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world' NATURE 'There is something in here for everyone ... A call to arms for greater societal data literacy' FINANCIAL TIMES
WALL STREET Though D & B was the product of the D & B's Seven Pillars 1933
merger of Dun and the BradIT WAS A NEW Dun ... With these experts of the
consumer WHERE DUN SUPPLIES WISDOM Business statistics including
For more on this subject , see the statisticsbased studies of economic and social
history by T . S . Ashton , Peter Mathias and Asa Briggs in Great Britain , and by
Paul Mantoux , Fernand Braudel and François Crouzet in France . Chapter LXII C
These " seven pillars of wisdom ” included : Market statistics , production control ,
storage , selecting proper marketing channels , price policy , discount policy , and
advertising and promotion . A good program for eggs using all of these ideas ...
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Author: Thomas Richards
Publisher: Verso Books
Category: Colonies in literature
Argues that by meeting the vast administrative challenge of the British Empire - thorough maps and surveys, censuses and statistics - Victorian administrators developed a new symbiosis of knowledge and power. The book draws on works by Rudyard Kipling, H.G. Wells and Bram Stoker.
With Biographical Sketches and Statistical Information of the Public Institutions,
&c., &c John Warner Barber, Lemuel S. ... a sermon from the words of the royal
Preacher , “ Wisdom hath builded her house ; she hath hewn out her seven pillars .
From Its Earliest Settlement to the Present Time, with Biographical Sketches and Statistical Information of the Public ... by a sermon from the words of the royal
Preacher , “ Wisdom hath builded her house ; she hath hewn out her seven pillars .
From the seven days of creation to the seven pillars of wisdom , the Hebrew
scriptures contain " unnumbered heptads . ... Numerous biblical stories use
seven as a statistical number ( Pharaoh ' s dream of seven fat cows and seven
thin cows ...
Author: Mircea Eliade
Publisher: Macmillan Reference USA
A comprehensive guide to the history, beliefs, concepts, practices, and major figures of religions past and present.
This discussion field and The Seven Pillars of Wisdom with the results on what
may be done legitimately with statistical ( in each case the averages of five
samples ) : data is probably the most valuable part of the exercise . It is also one
of the ...
T . E . LAWRENCE Seven Pillars of Wisdom , Jonathan Cape , 30 Bedford
Square , London 1946 . The Statesman ' s Year - Book / Statistical and Historical
Annual of the States of the World for the year 1920 , edited by Sir John Scott
Keltie , L ...
T. E. LAWRENCE , Seven Pillars of Wisdom . I F we are to believe in the statistical evidence be asked why the information was concealed , and -and there
is no reason to think it has been the situation allowed to get worse because of
A journal dealing with financial, economic and shipping affairs.
London : NS < http : / / www . statistics . gov . uk / > National Statistics ( 2002b ) ,
Census 2002 : population report : demographics . London : NS < http : / / www . statistics . gov . uk ... Seven pillars of wisdom ? Good practice in information skills