Resultados para "statistics" en Todas las categorias

This book reveals how statistics and probability are fundamental to our everyday lives—from advertisements to public opinion polls, weather forecasts to government policies, scientific research to stock market information. Haim Shapira then presents a myriad of anecdotes, riddles, case studies and practical exercises in his trademark witty voice to guide the listner through the importance of statistics and probability in everyday life.

This chapter-level audiobook can change the way you listen to big shots - mostly businesspersons with a snapshot or two of politicians - as they pontificate for public consumption and personal gain. You'll recognize the spin, that dastardly polite euphemism for lies that the advertising/PR folks coined years ago to anoint their profession with a bit of undeserved dignity. In the process, you might gain a more realistic grasp of what's going on around you and how your mind is being manipulated, or brainwashed.

Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

In the age of Big Data we often believe that our predictions about the future are better than ever before. But as risk expert Gerd Gigerenzer shows, the surprising truth is that in the real world, we often get better results by using simple rules and considering less information. In Risk Savvy, Gigerenzer reveals that most of us, including doctors, lawyers, financial advisers, and elected officials, misunderstand statistics much more often than we think, leaving us not only misinformed, but vulnerable to exploitation.

You'd think we were living in the golden age of science and reason. But the truth is far more sinister, says Austin Ruse. We're actually living in the age of the low information voter, easily misled by all-too-convincing false statistics and studies. In Fake Science, Ruse debunks so-called "facts" used to advance political causes one after the other, revealing how poorly they stand up to actual science.

Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the 17th-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it.

Darrell Huff's celebrated classic How to Lie With Statistics is a straightforward and engaging guide to understanding the manipulation and misrepresentation of information that could be lurking behind every graph, chart, and infographic. Originally published in 1954, it remains as relevant and necessary as ever in our digital world, where information is king - and as easy to distort and manipulate as it is to access.

Focusing on the basics, this book will provide clear and beneficial information about Microsoft Excel, including time-saving tips such as how to enter data more efficiently, how to manipulate cells or worksheets, how to switch between absolute and relative cell references with just a few simple keystrokes, and more.

Did you know the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists.

Here we find the roots of growing public resentment. Despite headlines heralding growth and prosperity, most Americans have fallen behind. They’re working harder year upon year not to get ahead but merely to stay apace. For them, the American dream appears to be slipping farther and farther away. Beneath the resentment is something else: The misleading statistics that shape our understanding of reality are steering powerful policymakers to make misguided decisions at the federal, state, and local levels alike. And, for most Americans, the results continue to be catastrophic.

What do people do when they count? What do numbers really mean? We all know that people can lie with statistics, but in this groundbreaking work, eminent political scientist Deborah Stone uncovers a much deeper problem. With help from Dr. Seuss and Cookie Monster, she explains why numbers can't be objective: in order to count, one must first decide what counts. Every number is the ending to a story built on cultural assumptions, social conventions, and personal judgments.

This book is more than just a book of child abuse stories. The victims of child sexual abuse are one out of four girls and one out of seven boys (World Health Organization). A majority of the offenders are people they know and trust like their family members.

In this book, two distinguished scientists tackle common misconceptions about race, human biology, and racism. Using an accessible question-and-answer format, Joseph L. Graves Jr. and Alan H. Goodman explain the differences between social and biological notions of race. Although there are many meaningful human genetic variations, they do not map onto socially constructed racial categories. Drawing on evidence from both natural and social science, Graves and Goodman dismantle the malignant myth of gene-based racial difference.

As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing.

Der Psychologe Gerd Gigerenzer, die Datenanalyse-Expertin Katharina Schüller, der Ökonom Thomas Bauer und der Statistiker Walter Krämer diagnostizieren uns seit Jahren in ihrer »Unstatistik des Monats« eine Art Analphabetismus im Umgang mit Zahlen, mit Wahrscheinlichkeiten und Risiken. Anhand neuer spektakulärer Beispiele erklären die vier, wie wir Unsinn erkennen, Prognosen richtig einordnen, zwischen Kausalität und Korrelation unterscheiden und unsere immer komplexere Welt sinnvoll beschreiben können. Das ist unterhaltsam—und wichtiger denn je!

Two books in one - use the power of analytics and probability to discover what your target customers are thinking and how to use that as an edge in identifying solutions and strategies to help you move forward. Includes: Analytics and Probability.

Whether you are retail employee or a budding entrepreneur, or really just someone looking to contribute to your place of work, you will surely encounter problems that require planning and analysis to address them. What you may not know is that, most of the time statistics, specifically probability and its concepts, will often give you an edge in identifying solutions and strategies to help you move forward with a great plan.

In this eye-opening book, renowned economist Alex Edmans teaches us how to separate fact from fiction. Using colorful examples—from a wellness guru's tragic but fabricated backstory to the blunders that led to the Deepwater Horizon disaster to the diet that ensnared millions yet hastened its founder's death—Edmans highlights the biases that cause us to mistake statements for facts, facts for data, data for evidence, and evidence for proof.

With its three-hour-long contests, 162-game seasons, and countless measurable variables, baseball is a sport which lends itself to self-reflection and obsessive analysis. It's a thinking game. It's also a shifting game. Nowhere is this more evident than in the statistical revolution which has swept through the pastime in recent years, bringing metrics like WAR, OPS, and BABIP into front offices and living rooms alike.